Triple
T268014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wuhan University |
E5774
|
entity |
| Predicate | hasFaculty |
P141
|
FINISHED |
| Object |
School of Remote Sensing and Information Engineering
The School of Remote Sensing and Information Engineering is a specialized academic unit of Wuhan University focused on education and research in remote sensing, geoinformatics, and related information technologies.
|
E35775
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: School of Remote Sensing and Information Engineering | Statement: [Wuhan University, hasFaculty, School of Remote Sensing and Information Engineering]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: School of Remote Sensing and Information Engineering Context triple: [Wuhan University, hasFaculty, School of Remote Sensing and Information Engineering]
-
A.
School of Civil Engineering and Architecture
The School of Civil Engineering and Architecture is a specialized academic unit of Wuhan University focused on education and research in civil engineering, architecture, and related built-environment disciplines.
-
B.
School of Water Resources and Hydropower Engineering
The School of Water Resources and Hydropower Engineering is a specialized faculty of Wuhan University focused on education and research in water resources management, hydropower engineering, and related environmental and civil engineering fields.
-
C.
School of Resources and Environmental Science
The School of Resources and Environmental Science is a specialized academic unit of Wuhan University focused on education and research in natural resources management, environmental science, and related interdisciplinary fields.
-
D.
China University of Geosciences (Wuhan)
China University of Geosciences (Wuhan) is a prominent Chinese national university renowned for its programs and research in geology, earth sciences, and related disciplines.
-
E.
Graduate School of Information Science and Technology
The Graduate School of Information Science and Technology is a leading research and education institution at the University of Tokyo specializing in advanced information science, computer science, and related technologies.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: School of Remote Sensing and Information Engineering Triple: [Wuhan University, hasFaculty, School of Remote Sensing and Information Engineering]
Generated description
The School of Remote Sensing and Information Engineering is a specialized academic unit of Wuhan University focused on education and research in remote sensing, geoinformatics, and related information technologies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: School of Remote Sensing and Information Engineering Target entity description: The School of Remote Sensing and Information Engineering is a specialized academic unit of Wuhan University focused on education and research in remote sensing, geoinformatics, and related information technologies.
-
A.
School of Civil Engineering and Architecture
The School of Civil Engineering and Architecture is a specialized academic unit of Wuhan University focused on education and research in civil engineering, architecture, and related built-environment disciplines.
-
B.
School of Water Resources and Hydropower Engineering
The School of Water Resources and Hydropower Engineering is a specialized faculty of Wuhan University focused on education and research in water resources management, hydropower engineering, and related environmental and civil engineering fields.
-
C.
School of Resources and Environmental Science
The School of Resources and Environmental Science is a specialized academic unit of Wuhan University focused on education and research in natural resources management, environmental science, and related interdisciplinary fields.
-
D.
China University of Geosciences (Wuhan)
China University of Geosciences (Wuhan) is a prominent Chinese national university renowned for its programs and research in geology, earth sciences, and related disciplines.
-
E.
Graduate School of Information Science and Technology
The Graduate School of Information Science and Technology is a leading research and education institution at the University of Tokyo specializing in advanced information science, computer science, and related technologies.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a2587daeb081909591b9d30f80a271 |
completed | Feb. 28, 2026, 2:52 a.m. |
| NER | Named-entity recognition | batch_69a25dae4a0c8190a66cf6ed3889851c |
completed | Feb. 28, 2026, 3:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3914d5cd08190bd755e1e65feee2a |
completed | March 1, 2026, 1:07 a.m. |
| NEDg | Description generation | batch_69a391c9c44c8190a33ca57039c6c68c |
completed | March 1, 2026, 1:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a392441684819090076d46960a0e22 |
completed | March 1, 2026, 1:11 a.m. |
Created at: Feb. 28, 2026, 2:56 a.m.