Triple

T2256107
Position Surface form Disambiguated ID Type / Status
Subject Kyoto University E49727 entity
Predicate abbreviation P43 FINISHED
Object KU E49727 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: KU | Statement: [Kyoto University, abbreviation, KU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KU
Context triple: [Kyoto University, abbreviation, KU]
  • A. KU chosen
    KU is a common abbreviation for Kyoto University, a prestigious national research university in Kyoto, Japan.
  • B. KU
    KU is the commonly used abbreviation for Kettering University, a private university in Flint, Michigan known for its strong engineering and cooperative education programs.
  • C. KU
    KU is the vehicle registration code assigned to the district of Kulmbach in the Upper Franconia region of Bavaria, Germany.
  • D. Kansas State University
    Kansas State University is a public land-grant research university in Manhattan, Kansas, known for its strong programs in agriculture, engineering, and veterinary medicine and its prominent NCAA Division I athletics.
  • E. University of Kansas
    The University of Kansas is a major public research university in Lawrence, Kansas, known for its strong academic programs and storied Jayhawks basketball tradition.
  • 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_69a88aaa9250819095e127d0d77e8a32 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc1559ff481908efe3f214b2570dc completed March 7, 2026, 6:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6b2229288190a7da9025dc394e67 completed March 9, 2026, 6:39 a.m.
Created at: March 4, 2026, 7:47 p.m.