Triple
T8938073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HUST |
E212827
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | HUST |
E7178
|
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: HUST | Statement: [HUST, shortName, HUST]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HUST Context triple: [HUST, shortName, HUST]
-
A.
HUST
HUST is a leading Vietnamese technical university renowned for its engineering, science, and technology education and research.
-
B.
Hefei University of Technology
Hefei University of Technology is a major national key university in China known for its strong engineering, science, and technology programs.
-
C.
Hangzhou Dianzi University
Hangzhou Dianzi University is a Chinese public university in Hangzhou known for its strong programs in electronics, information technology, and engineering.
-
D.
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.
-
E.
Hubei University of Technology
Hubei University of Technology is a provincial public university in Wuhan, China, known for its engineering, technology, and applied sciences 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_69ca839694c88190b324ffeb43d23b08 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc66b57a348190979effe4f9998eb7 |
completed | April 1, 2026, 12:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc1e692548190b631c4926927d12f |
completed | April 3, 2026, 1:34 p.m. |
Created at: March 30, 2026, 6:58 p.m.