Triple

T653765
Position Surface form Disambiguated ID Type / Status
Subject Nagoya University E11599 entity
Predicate JapaneseName P744 FINISHED
Object 名古屋大学 E11599 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: 名古屋大学 | Statement: [Nagoya University, JapaneseName, 名古屋大学]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 名古屋大学
Context triple: [Nagoya University, JapaneseName, 名古屋大学]
  • A. Nagoya University chosen
    Nagoya University is a prestigious Japanese national research university known for its strong science and engineering programs and several Nobel Prize–winning scholars.
  • B. Nagoya City University
    Nagoya City University is a public university in Nagoya, Japan, known for its programs in medicine, pharmaceutical sciences, design, and humanities.
  • C. Yokohama National University
    Yokohama National University is a prominent Japanese national research university located in Yokohama, known for its programs in engineering, economics, business, and education.
  • D. Kansai University
    Kansai University is a major private research university in Japan known for its comprehensive academic programs and strong reputation in the Kansai region.
  • E. Osaka University
    Osaka University is a leading Japanese national research university known for its strong programs in science, engineering, and medicine and its major contributions to academic and industrial innovation.
  • 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_69a4932862a0819098be659c814e4981 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49f4a660c8190b887cb4da01ef7ae completed March 1, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5c38ffa0c8190af0b6a7528b6c059 completed March 2, 2026, 5:06 p.m.
Created at: March 1, 2026, 7:36 p.m.