Triple
T4369612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hefei University of Technology |
E98863
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | HFUT |
E98863
|
NE FINISHED |
How this triple was built (2 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: HFUT | Statement: [Hefei University of Technology, shortName, HFUT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HFUT Context triple: [Hefei University of Technology, shortName, HFUT]
-
A.
HUST
HUST is a leading Vietnamese technical university renowned for its engineering, science, and technology education and research.
-
B.
Hefei University of Technology
chosen
Hefei University of Technology is a major national key university in China known for its strong engineering, science, and technology programs.
-
C.
Hohai University
Hohai University is a prominent Chinese institution of higher education known for its strong programs in water resources, hydropower engineering, and related fields.
-
D.
Anhui University
Anhui University is a comprehensive public university and major higher education institution located in Hefei, the capital of China’s Anhui Province.
-
E.
HUST School of Law
HUST School of Law is the law faculty of Huazhong University of Science and Technology in China, offering legal education and research programs.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69b3454db3708190aeafd814413c4c3d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b352052b388190b02cca9a3b480be4 |
completed | March 12, 2026, 11:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5dbd1646c8190b7db5d9a9445633c |
completed | March 14, 2026, 10:06 p.m. |
Created at: March 12, 2026, 11:17 p.m.