Triple

T18733025
Position Surface form Disambiguated ID Type / Status
Subject Qiantan campus E458084 entity
Predicate name P16 FINISHED
Object Qiantan 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: Qiantan campus | Statement: [Qiantan campus, name, Qiantan campus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Qiantan campus
Context triple: [Qiantan campus, name, Qiantan campus]
  • A. Qiantan campus chosen
    Qiantan campus is NYU Shanghai’s main purpose-built campus in Shanghai’s Qiantan district, designed as a modern, international academic hub.
  • B. Qianhu Campus
    Qianhu Campus is a major campus of Nanchang University in Nanchang, Jiangxi Province, known for its modern facilities and comprehensive academic environment.
  • C. Qingshanhu Campus
    Qingshanhu Campus is a principal campus of Jiangxi University of Finance and Economics located in Nanchang, China, housing many of the university’s academic and student facilities.
  • D. Qingshanhu Campus
    Qingshanhu Campus is a major campus of Nanchang University in Nanchang, Jiangxi Province, known for hosting a wide range of academic and research facilities.
  • 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 (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_69d8d393ba9c8190a8b03b04ddbb0a09 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e56d791ab88190b333503f9b1ad0c0 completed April 20, 2026, 12:04 a.m.
Created at: April 10, 2026, 11:51 a.m.