Triple

T12210895
Position Surface form Disambiguated ID Type / Status
Subject Harima Province E290953 entity
Predicate hasMajorCity P316 FINISHED
Object Kakogawa E291579 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: Kakogawa | Statement: [Harima Province, hasMajorCity, Kakogawa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kakogawa
Context triple: [Harima Province, hasMajorCity, Kakogawa]
  • A. Kakogawa chosen
    Kakogawa is an industrial and residential city in central Hyōgo Prefecture, Japan, known for its steel manufacturing and role as a regional transportation hub.
  • B. Yanagawa
    Yanagawa is a historic canal city in southwestern Japan known for its picturesque waterways, traditional boat tours, and former castle-town atmosphere.
  • C. Higashikawa
    Higashikawa is a town in Hokkaido, Japan, known as a gateway to the Daisetsuzan mountain range and for its scenic natural landscapes.
  • D. Koshigaya
    Koshigaya is a suburban city in Japan known for its large shopping complexes and residential communities within the Greater Tokyo metropolitan area.
  • E. Takasago
    Takasago is a classic Noh play, traditionally attributed to Zeami Motokiyo, that centers on an elderly couple symbolizing marital harmony and the unity of past and present.
  • 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_69d6ab65923081909acfc61b7a612233 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c7ed4688190b0546b784e36b0ec completed April 10, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b272ea6c8190b22fd78081446701 completed May 10, 2026, 4:29 p.m.
Created at: April 8, 2026, 9:51 p.m.