Triple

T32195639
Position Surface form Disambiguated ID Type / Status
Subject 京阪黄檗駅 E822396 entity
Predicate サービスエリア P104835 FINISHED
Object ICカード乗車券対応エリア(京阪線) 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: ICカード乗車券対応エリア(京阪線) | Statement: [京阪黄檗駅, サービスエリア, ICカード乗車券対応エリア(京阪線)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: サービスエリア
Context triple: [京阪黄檗駅, サービスエリア, ICカード乗車券対応エリア(京阪線)]
  • A. serviceAreaName
    Indicates the designated name of the geographic or functional area that a service covers or operates within.
  • B. areaOfService chosen
    Indicates the geographic or functional region within which a service is provided or applicable.
  • C. areaServed
    Indicates the geographic region or jurisdiction within which a service, organization, or activity is provided or applicable.
  • D. hasServiceAreas
    Indicates that an entity provides services within, or is operational across, specific geographic or functional areas.
  • E. areaServedType
    Indicates the type or category of area that is served by an entity or service.
  • 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_69f3490819cc81909bae1f8ce99423c5 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6bb3795fc8190bfcb00d45aa887a1 completed May 3, 2026, 3:04 a.m.
PD Predicate disambiguation batch_69f6b3aa892481908d29283a074e6722 completed May 3, 2026, 2:32 a.m.
Created at: May 1, 2026, 12:35 a.m.