Triple

T26551418
Position Surface form Disambiguated ID Type / Status
Subject 福岡県太宰府市 E671686 entity
Predicate 有名な博物館 P37091 FINISHED
Object 九州国立博物館 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: 九州国立博物館 | Statement: [福岡県太宰府市, 有名な博物館, 九州国立博物館]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 有名な博物館
Context triple: [福岡県太宰府市, 有名な博物館, 九州国立博物館]
  • A. majorMuseum
    Indicates that a museum holds significant importance or prominence, typically due to its size, collections, reputation, or cultural impact.
  • B. hasMuseumName
    Indicates that an entity (typically a museum) is associated with a specific name or title.
  • C. hasMuseumAt chosen
    Indicates that a museum is located at or exists in a specified place or location.
  • D. museumOrSite
    Indicates that one entity is a museum or cultural/historical site associated with or relevant to another entity.
  • E. isLargestMultipurposeMuseumIn
    Indicates that a museum is the largest multipurpose museum within a specified geographic area or location.
  • F. None of above.

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_69eeb32163f08190af5f81282738e27a completed April 27, 2026, 12:51 a.m.
NER Named-entity recognition batch_69f614624c80819084f6febf57f86828 completed May 2, 2026, 3:12 p.m.
PD Predicate disambiguation batch_69f602d7b1b0819095ddd3b5169f8ce2 completed May 2, 2026, 1:57 p.m.
Created at: April 27, 2026, 1:47 a.m.