Triple

T13605564
Position Surface form Disambiguated ID Type / Status
Subject Oedo-Onsen Monogatari E325051 entity
Predicate near P350 FINISHED
Object Odaiba Kaihin Park E64227 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: Odaiba Kaihin Park | Statement: [Oedo-Onsen Monogatari, near, Odaiba Kaihin Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Odaiba Kaihin Park
Context triple: [Oedo-Onsen Monogatari, near, Odaiba Kaihin Park]
  • A. Nakanoshima Park
    Nakanoshima Park is a scenic riverside public park in central Osaka known for its rose gardens, waterfront views, and cultural facilities.
  • B. Hayama Shiosai Park
    Hayama Shiosai Park is a seaside Japanese garden and public park in Hayama, Kanagawa, known for its coastal views, traditional landscaping, and tranquil atmosphere near the Imperial Villa.
  • C. Odaiba chosen
    Odaiba is a popular high-tech entertainment and shopping district built on a man-made island in Tokyo Bay.
  • D. 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.
  • E. Inokashira Onshi Park
    Inokashira Onshi Park is a popular public park in Tokyo known for its central pond with boat rentals, cherry blossoms, and the nearby Ghibli Museum.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb07e442c819086a8cbb967c03ad3 completed April 12, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8c6cde08190b79fdcde8a81ccc4 completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 9:50 p.m.