Triple

T6094119
Position Surface form Disambiguated ID Type / Status
Subject Odawara Station E135835 entity
Predicate locatedIn P40 FINISHED
Object Odawara E329012 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: Odawara | Statement: [Odawara Station, locatedIn, Odawara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Odawara
Context triple: [Odawara Station, locatedIn, Odawara]
  • A. Odawara chosen
    Odawara is a coastal city in Kanagawa Prefecture, Japan, known for its historic Odawara Castle and role as a strategic post town along historic and modern transportation routes.
  • B. Hayama
    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.
  • C. Kamakura
    Kamakura is a historic coastal city in Japan renowned for its Great Buddha statue, numerous temples and shrines, and role as the political center of the Kamakura shogunate.
  • D. Akishima
    Akishima is a city in western Tokyo, Japan, known as part of the Tama area and characterized by its residential neighborhoods and light industry.
  • E. Moriguchi
    Moriguchi is a city in Japan’s Kansai region that forms part of the Osaka metropolitan area and serves as a residential and commercial hub.
  • 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_69c0087cd3c48190b459848c72d84eb1 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05a9516ec819093e94ee8d3244e1b completed March 22, 2026, 9:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c673f2327481908f541d4b2095c958 completed March 27, 2026, 12:11 p.m.
Created at: March 22, 2026, 4:12 p.m.