Triple

T17821660
Position Surface form Disambiguated ID Type / Status
Subject 千歳市 E444999 entity
Predicate 地方 P3207 FINISHED
Object 北海道地方 NE NERFINISHED

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: 北海道地方 | Statement: [千歳市, 地方, 北海道地方]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 北海道地方
Context triple: [千歳市, 地方, 北海道地方]
  • A. Hokuriku region
    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. Hokkaido chosen
    Hokkaido is Japan’s northernmost main island, known for its cold climate, vast natural landscapes, and popular ski resorts.
  • C. Aomori Prefecture
    Aomori Prefecture is Japan’s northernmost prefecture on the main island of Honshu, known for its rugged natural landscapes, apple production, and the city of Aomori.
  • D. Tohoku
    Tohoku is the northeastern region of Japan’s main island, known for its rural landscapes, harsh winters, and rich traditional culture.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48911b660819097fc7ea94665a02a completed April 19, 2026, 7:49 a.m.
Created at: April 10, 2026, 10:15 a.m.