Triple

T31749006
Position Surface form Disambiguated ID Type / Status
Subject Iriya Gate E810355 entity
Predicate belongsToStationCategory P8936 FINISHED
Object major Tokyo railway station entrance 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: major Tokyo railway station entrance | Statement: [Iriya Gate, belongsToStationCategory, major Tokyo railway station entrance]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: belongsToStationCategory
Context triple: [Iriya Gate, belongsToStationCategory, major Tokyo railway station entrance]
  • A. associatedStationCategory chosen
    Indicates that one entity is linked to, or classified under, a particular category of station.
  • B. belongsToRollingStockCategory
    Indicates that something is classified under, or is a member of, a specific rolling stock category (such as a type or group of railway vehicles).
  • C. associatedWithStationName
    Indicates a relationship where something is linked or connected to a particular station identified by its name.
  • D. associatedWithStationRole
    Indicates that an entity has a connection or involvement with a specific role or function at a station.
  • E. associatedStationQualifier
    Indicates that a station is linked to another station with a specific qualifying role or context (such as type, function, or relationship).
  • 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_69f348e233cc819083b6695f70cd75d8 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69fe91383a1c81909266e40c3c3ede6c completed May 9, 2026, 1:43 a.m.
PD Predicate disambiguation batch_69fe8fde094081908f0f121664fbb5c7 completed May 9, 2026, 1:37 a.m.
Created at: April 30, 2026, 11:27 p.m.