Triple
T453349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huazhong University of Science and Technology |
E7178
|
entity |
| Predicate | formedByMerger |
P6637
|
FINISHED |
| Object |
Wuhan Urban Construction Institute
Wuhan Urban Construction Institute was a former Chinese higher education institution specializing in urban construction and related engineering disciplines that later became part of Huazhong University of Science and Technology through a merger.
|
E7178
|
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: Wuhan Urban Construction Institute | Statement: [Huazhong University of Science and Technology, formedByMerger, Wuhan Urban Construction Institute]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wuhan Urban Construction Institute Context triple: [Huazhong University of Science and Technology, formedByMerger, Wuhan Urban Construction Institute]
-
A.
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.
-
B.
Huazhong University of Science and Technology
Huazhong University of Science and Technology is a major comprehensive research university in China, renowned for its strengths in engineering, science, and medical disciplines.
-
C.
South China University of Technology
South China University of Technology is a major national research university in Guangzhou, China, renowned for its strong engineering, science, and technology programs.
-
D.
Tongji University
Tongji University is a prestigious comprehensive research university in Shanghai, China, renowned for its strengths in engineering, architecture, and urban planning.
-
E.
Wuhan University
Wuhan University is a major comprehensive research university in Wuhan, China, renowned for its strong academic programs and picturesque campus.
- 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: Wuhan Urban Construction Institute Triple: [Huazhong University of Science and Technology, formedByMerger, Wuhan Urban Construction Institute]
Generated description
Wuhan Urban Construction Institute was a former Chinese higher education institution specializing in urban construction and related engineering disciplines that later became part of Huazhong University of Science and Technology through a merger.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wuhan Urban Construction Institute Target entity description: Wuhan Urban Construction Institute was a former Chinese higher education institution specializing in urban construction and related engineering disciplines that later became part of Huazhong University of Science and Technology through a merger.
-
A.
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.
-
B.
Huazhong University of Science and Technology
chosen
Huazhong University of Science and Technology is a major comprehensive research university in China, renowned for its strengths in engineering, science, and medical disciplines.
-
C.
South China University of Technology
South China University of Technology is a major national research university in Guangzhou, China, renowned for its strong engineering, science, and technology programs.
-
D.
Tongji University
Tongji University is a prestigious comprehensive research university in Shanghai, China, renowned for its strengths in engineering, architecture, and urban planning.
-
E.
Wuhan University
Wuhan University is a major comprehensive research university in Wuhan, China, renowned for its strong academic programs and picturesque campus.
- F. None of above.
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_69a2e7e4676c81909ea0dbdecac0687c |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2f01ec5148190b74e1727712f1163 |
completed | Feb. 28, 2026, 1:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a462f3f5b4819089f05339d8422cd0 |
completed | March 1, 2026, 4:01 p.m. |
| NEDg | Description generation | batch_69a463937ea481908ee615323ae4ebf0 |
completed | March 1, 2026, 4:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a463f23ea08190b977642b9485f16f |
completed | March 1, 2026, 4:06 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.