Triple

T20143900
Position Surface form Disambiguated ID Type / Status
Subject Northeastern University (China) E491247 entity
Predicate hasCampus P116 FINISHED
Object Heping 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: Heping Campus | Statement: [Northeastern University (China), hasCampus, Heping Campus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heping Campus
Context triple: [Northeastern University (China), hasCampus, Heping Campus]
  • A. Heping Campus chosen
    Heping Campus is the main and historic campus of Northeastern University in Shenyang, China, housing many of its core academic and administrative facilities.
  • B. Donglu Campus
    Donglu Campus is one of the main campuses of Yunnan University, known for its historic architecture and scenic setting in Kunming, China.
  • C. Suiyuan Campus
    Suiyuan Campus is a historic and picturesque campus of Nanjing Normal University, known for its traditional Chinese architecture and cultural heritage.
  • D. Xueyuan Road Campus
    Xueyuan Road Campus is the main campus of Beihang University in Beijing, known for its focus on aeronautics, astronautics, and engineering education and research.
  • E. Jiulonghu Campus
    Jiulonghu Campus is a major modern campus of Southeast University in Nanjing, China, known for its expansive grounds and contemporary 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6679cbc388190bb2b444a69a597a6 completed April 20, 2026, 5:51 p.m.
Created at: April 11, 2026, 11:33 p.m.