Triple

T9656285
Position Surface form Disambiguated ID Type / Status
Subject SCUT E233459 entity
Predicate hasCampus P116 FINISHED
Object Wushan Campus E236843 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: Wushan Campus | Statement: [SCUT, hasCampus, Wushan Campus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wushan Campus
Context triple: [SCUT, hasCampus, Wushan Campus]
  • A. Wushan Campus chosen
    Wushan Campus is the main campus of South China University of Technology, located in the Wushan area of Guangzhou, China.
  • B. Wangjiang Campus
    Wangjiang Campus is one of the main campuses of Sichuan University in Chengdu, known for its large, scenic grounds and concentration of key academic and research facilities.
  • C. Qujiang Campus
    Qujiang Campus is one of the main campuses of Xi'an Jiaotong University, located in the Qujiang New District of Xi'an and housing various academic and research facilities.
  • D. Nanwangshan Campus
    Nanwangshan Campus is one of the main teaching and research campuses of China University of Geosciences (Wuhan), located in Wuhan, Hubei Province, China.
  • E. Yujiatou Campus
    Yujiatou Campus is one of the main campuses of Central China Normal University in Wuhan, China, housing various academic, administrative, and student facilities.
  • 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_69ca848c1ba88190b84b410cd14627fc completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9bdd5c0c8190a6c82a1609454d1b completed April 1, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19f6d397481908f7db1f272a6a710 completed April 4, 2026, 11:31 p.m.
Created at: March 30, 2026, 8:14 p.m.