Triple

T11549581
Position Surface form Disambiguated ID Type / Status
Subject Mount Inari E273855 entity
Predicate associatedDeity P1481 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: [Mount Inari, associatedDeity, Inari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Inari
Context triple: [Mount Inari, associatedDeity, Inari]
  • A. Inari chosen
    Inari is a major Shinto kami associated primarily with rice, agriculture, prosperity, and fox spirits in Japan.
  • B. Kurikka
    Kurikka is a municipality in the South Ostrobothnia region of western Finland, known for its rural landscapes and agricultural traditions.
  • C. Inari, Finland
    Inari is a large municipality in northern Finnish Lapland known for its significant Sámi population, cultural institutions, and vast wilderness areas.
  • D. Houtu
    Houtu is an important earth and fertility deity in Chinese mythology, often revered as a powerful ancestral mother figure associated with the land and its protection.
  • E. 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.
  • 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_69d6aae4dfa48190a3ab0b19a159a3c5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d886e615b08190a072924329a94a6a completed April 10, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69e685e7e6488190a3704e2028df5add completed April 20, 2026, 8 p.m.
Created at: April 8, 2026, 9:37 p.m.