Triple

T7990686
Position Surface form Disambiguated ID Type / Status
Subject Inari shrine E185997 entity
Predicate dedicatedTo P500 FINISHED
Object Inari E273856 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: Inari | Statement: [Inari shrine, dedicatedTo, Inari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Inari
Context triple: [Inari shrine, dedicatedTo, Inari]
  • A. Inari chosen
    Inari is a major Shinto kami associated primarily with rice, agriculture, prosperity, and fox spirits in Japan.
  • B. Inari, Finland
    Inari is a large municipality in northern Finnish Lapland known for its significant Sámi population, cultural institutions, and vast wilderness areas.
  • C. Tikkakoski
    Tikkakoski is a district in Jyväskylä, Finland, known for its military air base and role as a key center for the Finnish Air Force.
  • D. Inari municipality
    Inari municipality is a large, sparsely populated municipality in northern Finnish Lapland known for its rich Sámi culture, extensive wilderness areas, and numerous lakes.
  • E. Taipale
    Taipale is a locality in Finland historically notable as a major battleground during the Winter War between Finland and the Soviet Union.
  • 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_69ca829c6c308190ab05b43d234c52b2 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c6fc19c8190b98023e257c2f4f2 completed March 31, 2026, 3:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe0f5c22881908044a178d670684c completed March 31, 2026, 2:57 p.m.
Created at: March 30, 2026, 5:16 p.m.