Triple

T18949142
Position Surface form Disambiguated ID Type / Status
Subject Shenzhen University E463597 entity
Predicate hasCampus P116 FINISHED
Object Houhai Campus NE NERFINISHED

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: Houhai Campus | Statement: [Shenzhen University, hasCampus, Houhai Campus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Houhai Campus
Context triple: [Shenzhen University, hasCampus, Houhai Campus]
  • A. Houhai campus chosen
    Houhai campus is one of the main campuses of Shenzhen University, located in Shenzhen’s coastal Houhai area and known for its modern facilities and urban setting.
  • B. Donghu Campus
    Donghu Campus is one of the main campuses of Nanchang University, located in Nanchang, Jiangxi Province, China.
  • C. Qianhu Campus
    Qianhu Campus is a major campus of Nanchang University in Nanchang, Jiangxi Province, known for its modern facilities and comprehensive academic environment.
  • D. Qiantan campus
    Qiantan campus is NYU Shanghai’s main purpose-built campus in Shanghai’s Qiantan district, designed as a modern, international academic hub.
  • E. Guanggu Campus
    Guanggu Campus is a branch campus of Central China Normal University located in Wuhan’s Optics Valley (Guanggu) area, known for its modern facilities and focus on science and technology disciplines.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcfec90481909e926be9767e5779 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d541ef18819080b2e253dd23835d completed April 20, 2026, 7:26 a.m.
Created at: April 10, 2026, noon