Triple

T19041742
Position Surface form Disambiguated ID Type / Status
Subject Museum of Contemporary Art, Tokyo E466019 entity
Predicate locatedIn P40 FINISHED
Object Kiba Park 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: Kiba Park | Statement: [Museum of Contemporary Art, Tokyo, locatedIn, Kiba Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kiba Park
Context triple: [Museum of Contemporary Art, Tokyo, locatedIn, Kiba Park]
  • A. Kiba Park chosen
    Kiba Park is a large public park in Tokyo known for its open green spaces, sports facilities, and cultural attractions such as the Museum of Contemporary Art Tokyo.
  • B. Aokicho Park
    Aokicho Park is a local public park in Kawaguchi, Japan, offering green space and recreational facilities for neighborhood residents.
  • C. Kinshi Park
    Kinshi Park is a popular urban green space in Tokyo’s Kinshichō district, known for its cherry blossoms, sports facilities, and views of Tokyo Skytree.
  • D. Yamashita Park
    Yamashita Park is a famous seaside public park in Yokohama, Japan, known for its waterfront promenade, harbor views, and historic landmarks.
  • E. Seka Park
    Seka Park is a large coastal urban park and recreational area in İzmit, Turkey, known for its green spaces, walking paths, and cultural facilities along the Gulf of İzmit.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd0359648190bc2a9202c5cf29d2 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d80118248190af6b4c74df5085ad completed April 20, 2026, 7:38 a.m.
Created at: April 10, 2026, 12:03 p.m.