Triple

T14430297
Position Surface form Disambiguated ID Type / Status
Subject Fuchu, Tokyo E357806 entity
Predicate hasFacility P105 FINISHED
Object Fuchu Forest Park E1105567 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: Fuchu Forest Park | Statement: [Fuchu, Tokyo, hasFacility, Fuchu Forest Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fuchu Forest Park
Context triple: [Fuchu, Tokyo, hasFacility, Fuchu Forest Park]
  • A. Fuchu-no-Mori Park chosen
    Fuchu-no-Mori Park is a spacious public park in Fuchu, Tokyo, known for its seasonal flowers, open lawns, and recreational facilities for families and sports.
  • B. Rinshi-no-mori Park
    Rinshi-no-mori Park is a wooded urban park in Tokyo known for its rich greenery, walking trails, and tranquil natural atmosphere amid the city.
  • C. Kitanomaru Park
    Kitanomaru Park is a public park in central Tokyo known for its historic grounds, museums, and tranquil green spaces adjacent to the Tokyo Imperial Palace.
  • D. Sakura-no-Yama Park
    Sakura-no-Yama Park is a popular scenic park near Narita International Airport known for its cherry blossoms and close-up views of airplanes taking off and landing.
  • E. Nogeyama Park
    Nogeyama Park is a public green space in Yokohama known for its scenic views, seasonal flowers, and proximity to the Nogeyama Zoo.
  • 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_69d8279402a88190821ffa39ae15bccf completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de914570f08190b1c7c1c57a0cb476 completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94a254f881908d9494d4602064ae completed May 8, 2026, 7:45 a.m.
Created at: April 10, 2026, 1:18 a.m.