Triple

T2263745
Position Surface form Disambiguated ID Type / Status
Subject Battle Creek E50095 entity
Predicate hasSisterCity P919 FINISHED
Object Matsumoto E498824 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: Matsumoto | Statement: [Battle Creek, hasSisterCity, Matsumoto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matsumoto
Context triple: [Battle Creek, hasSisterCity, Matsumoto]
  • A. Matsumoto chosen
    Matsumoto is a historic city in central Japan best known for its well-preserved Matsumoto Castle and as a gateway to the scenic Japanese Alps.
  • B. Takayama
    Takayama is a historic mountain city in Japan’s Gifu Prefecture, known for its well-preserved Edo-period streets, traditional wooden houses, and proximity to the Japanese Alps.
  • C. Takasaki
    Takasaki is a city in Japan’s Gunma Prefecture known for its Daruma doll production and as a regional commercial and transportation hub.
  • D. Minoh
    Minoh is a suburban city in northern Osaka Prefecture, Japan, known for its scenic Minoh Waterfall, autumn foliage, and residential communities.
  • E. Kōka
    Kōka is a city in Shiga Prefecture, Japan, historically famous as the home of the Kōga ninja tradition.
  • 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_69a88b01e0048190ba96431b5f990ba9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc18d7fc08190851765683d1b8092 completed March 7, 2026, 6:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69bf28e228608190a531da6024803e1b completed March 21, 2026, 11:25 p.m.
Created at: March 4, 2026, 7:48 p.m.