Triple

T17767134
Position Surface form Disambiguated ID Type / Status
Subject Zhejiang University E443535 entity
Predicate hasFaculty P141 FINISHED
Object School of Humanities NE NERFINISHED

How this triple was built (3 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: School of Humanities | Statement: [Zhejiang University, hasFaculty, School of Humanities]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: School of Humanities
Context triple: [Zhejiang University, hasFaculty, School of Humanities]
  • A. School of Humanities
    The School of Humanities at the University of California, Irvine is an academic division dedicated to disciplines such as literature, history, philosophy, languages, and cultural studies.
  • B. School of Humanities
    The School of Humanities at Tongji University is an academic division dedicated to teaching and research in fields such as literature, history, philosophy, and related humanistic disciplines.
  • C. School of Humanities
    The School of Humanities at Shanghai Jiao Tong University is an academic division dedicated to teaching and research in fields such as literature, history, philosophy, and related humanistic disciplines.
  • D. School of Humanities
    The School of Humanities at Nanyang Technological University is an academic division dedicated to disciplines such as literature, history, philosophy, and related humanistic studies.
  • E. School of Humanities
    The School of Humanities at Seton Hill University is an academic division that offers programs focused on disciplines such as literature, history, philosophy, languages, and related liberal arts fields.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: School of Humanities
Target entity description: The School of Humanities at Zhejiang University is an academic faculty dedicated to teaching and research in disciplines such as literature, history, philosophy, and related humanistic studies.
  • A. School of Humanities
    The School of Humanities at Shanghai Jiao Tong University is an academic division dedicated to teaching and research in fields such as literature, history, philosophy, and related humanistic disciplines.
  • B. School of Humanities
    The School of Humanities at Tongji University is an academic division dedicated to teaching and research in fields such as literature, history, philosophy, and related humanistic disciplines.
  • C. School of Humanities
    The School of Humanities is an academic division of Huazhong University of Science and Technology that focuses on teaching and research in humanistic disciplines such as literature, history, philosophy, and related fields.
  • D. School of Humanities
    The School of Humanities at the University of Hong Kong is an academic unit dedicated to teaching and research in disciplines such as history, philosophy, literature, and related humanistic fields.
  • E. School of Humanities
    The School of Humanities at Nanyang Technological University is an academic division dedicated to disciplines such as literature, history, philosophy, and related humanistic studies.
  • F. None of above. chosen

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_69d8b9edf16c8190a59ebd245d378f4f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e485fccb9881908923564bf319f3c1 completed April 19, 2026, 7:36 a.m.
Created at: April 10, 2026, 10:11 a.m.