Triple
T10441294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shanghai University of Finance and Economics |
E246175
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | SUFE |
E766502
|
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: SUFE | Statement: [Shanghai University of Finance and Economics, shortName, SUFE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SUFE Context triple: [Shanghai University of Finance and Economics, shortName, SUFE]
-
A.
SWUFE
chosen
SWUFE is a leading Chinese university specializing in finance, economics, and business education and research.
-
B.
SCUT
SCUT is a major public research university in Guangzhou, China, known for its strong engineering, technology, and applied science programs.
-
C.
Central South University
Central South University is a major comprehensive research university in Changsha, Hunan, China, known for its strong engineering, medical, and materials science programs.
-
D.
NUAA
NUAA is a leading Chinese university in Nanjing specializing in aeronautics, astronautics, and engineering disciplines.
-
E.
Fudan University
Fudan University is a prestigious and comprehensive research university in Shanghai, China, renowned for its strong academic programs and leading role in Chinese higher education.
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fb9ebf488190ae776bd65e94cb00 |
completed | April 7, 2026, 12:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87ed6edd88190afd5063daba58a46 |
completed | April 10, 2026, 4:38 a.m. |
Created at: April 6, 2026, 12:15 p.m.