Triple

T30785828
Position Surface form Disambiguated ID Type / Status
Subject 広島市現代美術館 E783951 entity
Predicate 所在公園 P89452 FINISHED
Object 比治山公園 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: 比治山公園 | Statement: [広島市現代美術館, 所在公園, 比治山公園]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 所在公園
Context triple: [広島市現代美術館, 所在公園, 比治山公園]
  • A. cityParkName
    Indicates that the predicate specifies the name of a city park associated with a given entity.
  • B. cityParkOf
    Indicates that one entity is a city park that is located within or belongs to a particular city.
  • C. locatedInParkLikeSetting chosen
    Indicates that something is situated within or directly surrounded by an environment resembling a park, typically featuring natural or landscaped outdoor elements.
  • D. locatedInParkVicinity
    Indicates that an entity is situated in the area immediately surrounding or near a park.
  • E. countryParkLocatedOn
    Indicates that a country park is situated on or within the area of a specified geographic feature or land unit.
  • 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_69f224b213c8819083886073f90b647e completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f68fe8168c8190b083be0e33988b9c completed May 2, 2026, 11:59 p.m.
PD Predicate disambiguation batch_69f686140aa08190a35f62572b2db9b6 completed May 2, 2026, 11:17 p.m.
Created at: April 29, 2026, 8:41 p.m.