Triple

T12659160
Position Surface form Disambiguated ID Type / Status
Subject Noto Province E302370 entity
Predicate region P40 FINISHED
Object Hokuriku E373344 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: Hokuriku | Statement: [Noto Province, region, Hokuriku]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hokuriku
Context triple: [Noto Province, region, Hokuriku]
  • A. Hokuriku region chosen
    The Hokuriku region is a coastal area in northwestern Honshu, Japan, known for its heavy snowfall, Sea of Japan shoreline, and historic castle and hot spring towns.
  • B. Hidaka region
    The Hidaka region is a coastal and mountainous area in southeastern Hokkaido, Japan, known for its horse breeding, kelp production, and rugged natural scenery.
  • C. Sanyó
    Sanyó is a Hungarian diminutive form of the male given name Sándor, often used as an affectionate nickname.
  • D. Tohoku
    Tohoku is the northeastern region of Japan’s main island, known for its rural landscapes, harsh winters, and rich traditional culture.
  • E. Hokurikudō
    Hokurikudō was one of the ancient Japanese regional administrative and road circuits (dō) that encompassed several provinces along the Sea of Japan coast.
  • 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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961636db8819099c438b24bcfd866 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f72658fa6c81909b9785d710c418e0 completed May 3, 2026, 10:41 a.m.
Created at: April 9, 2026, 5:19 p.m.