Triple

T21715820
Position Surface form Disambiguated ID Type / Status
Subject 国府津駅 E536025 entity
Predicate 駅舎構造 P27765 FINISHED
Object 橋上駅舎 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: 橋上駅舎 | Statement: [国府津駅, 駅舎構造, 橋上駅舎]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 駅舎構造
Context triple: [国府津駅, 駅舎構造, 橋上駅舎]
  • A. formerRailwayStation
    Indicates that a location previously functioned as a railway station but is no longer in active railway service.
  • B. railwayStationStyle
    Indicates that one entity is designed, built, or decorated in the architectural style characteristic of a particular railway station.
  • C. buildingStructure
    Indicates that one entity is a structural component or physical part that forms, supports, or constitutes the construction of another entity.
  • D. railwayStationInside
    Indicates that a railway station is located within the boundaries or interior area of another place or structure.
  • E. stationType chosen
    Indicates the specific category or classification of a station based on its function, services, or operational characteristics.
  • 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_69e0c46c6dd88190a595375fa6ebd701 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69efb53761b48190954a46e8155a84f0 completed April 27, 2026, 7:12 p.m.
PD Predicate disambiguation batch_69e6969725bc81908e7ad19619ba2688 completed April 20, 2026, 9:11 p.m.
Created at: April 16, 2026, 6:47 p.m.