Triple

T17821663
Position Surface form Disambiguated ID Type / Status
Subject 千歳市 E444999 entity
Predicate 交通の要衝である P36293 FINISHED
Object はい LITERAL 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: はい | Statement: [千歳市, 交通の要衝である, はい]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 交通の要衝である
Context triple: [千歳市, 交通の要衝である, はい]
  • A. hasMajorTransportationRole chosen
    Indicates that an entity plays a primary or significant role in providing or supporting transportation services or infrastructure.
  • B. wasCrossroadsOf
    Indicates that a place served as a central junction or meeting point where multiple routes, paths, or influences converged.
  • C. isTransportCenterOf
    Indicates that a location functions as a primary hub or central node for transportation activities serving another area or network.
  • D. isMajorTransportLink
    Indicates that something serves as a primary or highly significant route or connection for transporting people or goods between places.
  • E. locatedInTransportCorridor
    Indicates that an entity is situated within a designated transport corridor used for the movement of people or goods.
  • F. None of above.

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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48911b660819097fc7ea94665a02a completed April 19, 2026, 7:49 a.m.
PD Predicate disambiguation batch_69e3d8de28688190844b65acf6af54e6 completed April 18, 2026, 7:17 p.m.
Created at: April 10, 2026, 10:15 a.m.