Triple

T19734200
Position Surface form Disambiguated ID Type / Status
Subject Hayama Shiosai Park E473932 entity
Predicate operatedBy P86 FINISHED
Object Town of Hayama 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: Town of Hayama | Statement: [Hayama Shiosai Park, operatedBy, Town of Hayama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Town of Hayama
Context triple: [Hayama Shiosai Park, operatedBy, Town of Hayama]
  • A. Yamamoto Town
    Yamamoto Town is a coastal municipality in northeastern Japan known for agriculture and for being heavily affected by the 2011 Tōhoku earthquake and tsunami.
  • B. Maihama
    Maihama is a coastal district of Urayasu in Chiba Prefecture, Japan, best known as the location of the Tokyo Disney Resort.
  • C. Hayama chosen
    Hayama is a coastal town in Kanagawa Prefecture, Japan, known for its beaches, scenic views of Sagami Bay, and as a site of an Imperial Villa.
  • D. Higashimurayama
    Higashimurayama is a suburban city in western Tokyo, Japan, known for its residential neighborhoods, parks, and role as part of the Tama area’s commuter belt.
  • E. Shichigahama Town
    Shichigahama Town is a coastal municipality in northeastern Japan known for its scenic beaches and fishing heritage along the Pacific shoreline of Miyagi Prefecture.
  • 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_69d8e517ebd48190979ee76723bcfadf completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6515b4d308190af3be1787fa7c65b completed April 20, 2026, 4:16 p.m.
Created at: April 10, 2026, 1:47 p.m.