Triple
T10509513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sheng Xuanhuai |
E247873
|
entity |
| Predicate | founded |
P104
|
FINISHED |
| Object | Beiyang University |
E643851
|
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: Beiyang University | Statement: [Sheng Xuanhuai, founded, Beiyang University]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beiyang University Context triple: [Sheng Xuanhuai, founded, Beiyang University]
-
A.
Peiyang University
chosen
Peiyang University was the original name of Tianjin University, one of China’s earliest and most prestigious modern higher education institutions.
-
B.
Beijing Normal University
Beijing Normal University is a prestigious Chinese research university in Beijing, renowned for its strong programs in education and the humanities.
-
C.
Liaoning University
Liaoning University is a comprehensive public university in Shenyang, China, known for its strong programs in economics, law, and humanities.
-
D.
Tianjin University
Tianjin University is a leading national research university in China, renowned for its strong engineering programs and status as the country’s first modern higher education institution.
-
E.
Peking University
Peking University is a leading Chinese research university in Beijing, renowned for its academic excellence, historical significance, and global influence.
- 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509b359ac8190b3683cc6b9c70a71 |
completed | April 7, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4cbacad608190adddd91f13e4113b |
completed | April 19, 2026, 12:33 p.m. |
Created at: April 6, 2026, 12:27 p.m.