Triple

T30786103
Position Surface form Disambiguated ID Type / Status
Subject 岐阜県美術館 E783958 entity
Predicate 公共性 P170137 FINISHED
Object 公立 LITERAL 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: 公立 | Statement: [岐阜県美術館, 公共性, 公立]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 公共性
Context triple: [岐阜県美術館, 公共性, 公立]
  • A. 相关政策
    Indicates that there exists a relevant or associated policy that applies to, governs, or influences the specified entity or situation.
  • B. 意识形态属性
    Indicates that an entity possesses or is characterized by a particular ideological attribute or orientation.
  • C. 办学性质
    Indicates the nature or type of an educational institution’s operation (e.g., public, private, or other organizing/operating character).
  • D. 实施国家
    Indicates the country that carries out, enforces, or implements a given policy, measure, action, or arrangement.
  • E. hasPublicity
    Indicates that an entity has received or is associated with public attention, promotion, or media exposure.
  • F. None of above. chosen

Provenance (4 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_69f224b213c8819083886073f90b647e completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f690097c9c81909858e7d8c15474da completed May 3, 2026, midnight
PD Predicate disambiguation batch_69f686140aa08190a35f62572b2db9b6 completed May 2, 2026, 11:17 p.m.
PDg Predicate description generation batch_69f68848ad348190a2fb6e841dcfdb7d completed May 2, 2026, 11:27 p.m.
Created at: April 29, 2026, 8:41 p.m.