Triple

T10297020
Position Surface form Disambiguated ID Type / Status
Subject Setagaya E241517 entity
Predicate hasPark P105 FINISHED
Object Komazawa Olympic Park E313191 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: Komazawa Olympic Park | Statement: [Setagaya, hasPark, Komazawa Olympic Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Komazawa Olympic Park
Context triple: [Setagaya, hasPark, Komazawa Olympic Park]
  • A. Komazawa Olympic Park chosen
    Komazawa Olympic Park is a large sports and recreation complex in Tokyo that was originally developed as a venue for the 1964 Summer Olympics.
  • B. Miyashita Park
    Miyashita Park is a redeveloped urban park and shopping complex in Shibuya that combines green space, sports facilities, and commercial areas atop a multi-story building.
  • C. Mizumoto Park
    Mizumoto Park is a large riverside public park in Tokyo known for its expansive greenery, ponds, and popular iris garden.
  • D. Kasai Rinkai Park
    Kasai Rinkai Park is a large seaside park in Tokyo known for its aquarium, bird sanctuary, and panoramic views of Tokyo Bay.
  • E. Okubo Park
    Okubo Park is a public urban park located in the Ōkubo district of Shinjuku, Tokyo, known as a local green space amid the dense cityscape.
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2ebd258819099fadddcd13099fc completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d75018383481909abbba8247a93f8e completed April 9, 2026, 7:07 a.m.
Created at: April 6, 2026, 11:43 a.m.