Triple

T14720820
Position Surface form Disambiguated ID Type / Status
Subject Wuhan University of Technology E345807 entity
Predicate hasCampus P116 FINISHED
Object Yujiatou Campus E54116 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: Yujiatou Campus | Statement: [Wuhan University of Technology, hasCampus, Yujiatou Campus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yujiatou Campus
Context triple: [Wuhan University of Technology, hasCampus, Yujiatou Campus]
  • A. Yujiatou Campus chosen
    Yujiatou Campus is one of the main campuses of Central China Normal University in Wuhan, China, housing various academic, administrative, and student facilities.
  • B. Yuanjiagang Campus
    Yuanjiagang Campus is one of the main teaching and research campuses of Chongqing Medical University in Chongqing, China.
  • 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. Jinyun Campus
    Jinyun Campus is one of the main campuses of Chongqing Medical University, housing academic, research, and student facilities in Chongqing, China.
  • E. Qiantan campus
    Qiantan campus is NYU Shanghai’s main purpose-built campus in Shanghai’s Qiantan district, designed as a modern, international academic hub.
  • 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_69d822e5911c8190ba589f957dbd9ba7 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec25d56fc8190871873ca55d49272 completed April 14, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb8624bc8190b20441c2f5c4a2fa completed May 8, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:29 a.m.