Triple

T14627034
Position Surface form Disambiguated ID Type / Status
Subject Hanazono Shrine E343374 entity
Predicate hasDeity P5606 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: [Hanazono Shrine, hasDeity, Inari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Inari
Context triple: [Hanazono Shrine, hasDeity, 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. Keuruu
    Keuruu is a town and municipality in the Central Finland region, known for its lakeside landscapes and historic wooden church.
  • D. Inari, Finland
    Inari is a large municipality in northern Finnish Lapland known for its significant Sámi population, cultural institutions, and vast wilderness areas.
  • E. 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.
  • 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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb46a4a9081908472b0a542028a7f completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda92c25ac8190ba931c009e7ace19 completed May 8, 2026, 9:13 a.m.
Created at: April 10, 2026, 1:26 a.m.