Triple

T11932367
Position Surface form Disambiguated ID Type / Status
Subject Takeda Shingen E283944 entity
Predicate domain P87 FINISHED
Object Kai Province E1032939 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: Kai Province | Statement: [Takeda Shingen, domain, Kai Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kai Province
Context triple: [Takeda Shingen, domain, Kai Province]
  • A. Kai Province chosen
    Kai Province was a historical region of central Japan, located in present-day Yamanashi Prefecture, known for its mountainous terrain and strategic importance during the feudal era.
  • B. Omasuyos Province
    Omasuyos Province is an administrative subdivision in western Bolivia known for its location near Lake Titicaca and its predominantly Aymara indigenous population.
  • C. Kii Province
    Kii Province was a historical region of Japan located on the Kii Peninsula, corresponding largely to present-day Wakayama Prefecture and parts of Mie Prefecture.
  • D. Kaga Province
    Kaga Province was a historical region of Japan located in what is now southern Ishikawa Prefecture, known for its wealth, powerful feudal domain, and rich cultural traditions.
  • E. Aroma Province
    Aroma Province is an administrative subdivision located within the La Paz Department of Bolivia, known for its rural communities and highland Andean landscapes.
  • 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_69d6ab2ce9c48190b5d39511b524f666 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90305015c81908edb0d9d3d012b2e completed April 10, 2026, 2:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f72654dc88819095bc1ce23dfee4df completed May 3, 2026, 10:41 a.m.
Created at: April 8, 2026, 9:45 p.m.