Triple

T11309509
Position Surface form Disambiguated ID Type / Status
Subject Hirapa E267800 entity
Predicate locatedInAdministrativeTerritory P40 FINISHED
Object Hirakata E9717 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: Hirakata | Statement: [Hirapa, locatedInAdministrativeTerritory, Hirakata]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hirakata
Context triple: [Hirapa, locatedInAdministrativeTerritory, Hirakata]
  • A. Hirakata chosen
    Hirakata is a city in Japan located between Osaka and Kyoto, known for its residential suburbs, historical sites, and the popular Hirakata Park amusement park.
  • B. Kiyokawa
    Kiyokawa is a small rural village in Kanagawa Prefecture, Japan, known for its mountainous scenery and outdoor recreation.
  • C. Hiranaka
    Hiranaka is a Japanese surname borne by individuals such as former professional boxer Akinobu Hiranaka.
  • D. Ichikawa
    Ichikawa is a city in Chiba Prefecture, Japan, located just east of Tokyo and known as a residential and commercial hub within the Greater Tokyo Area.
  • E. Yamauchi
    Yamauchi is a Japanese surname notably associated with the founding family of Nintendo and other prominent historical figures in Japan.
  • 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9c0b3b88190ac0e3d6a5ad3b9bc completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a4f804c81909abf5e9a88da1d91 completed May 2, 2026, 2:29 p.m.
Created at: April 8, 2026, 9:32 p.m.