Triple

T4815346
Position Surface form Disambiguated ID Type / Status
Subject Santa Lucía metro station E107173 entity
Predicate isPublicTransportNode P49108 FINISHED
Object yes 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: yes | Statement: [Santa Lucía metro station, isPublicTransportNode, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isPublicTransportNode
Context triple: [Santa Lucía metro station, isPublicTransportNode, yes]
  • A. isPublicTransportStation chosen
    Indicates that a location functions as a station or stop used by public transportation services such as buses, trains, trams, or subways.
  • B. isPublicTransport
    Indicates that the entity functions as a mode or instance of transportation that is available for use by the general public, typically operating on fixed routes or schedules.
  • C. isPublicTransportRoute
    Indicates that a given route is designated and operated as part of a public transportation system available for general use.
  • D. hasPublicTransitRole
    Indicates that an entity holds a specific functional role or responsibility within a public transit system.
  • E. isPublicTransportBackboneOf
    Indicates that one transport system serves as the primary structural and functional core of a region’s overall public transportation network.
  • 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_69bd43f779448190b92885cb70abb6c2 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6ddd17d881909f7731ff2b460e83 completed March 20, 2026, 3:55 p.m.
PD Predicate disambiguation batch_69bd6c1dfa3481909d240d50ed0ee38c completed March 20, 2026, 3:47 p.m.
Created at: March 20, 2026, 1:23 p.m.