Triple

T13352787
Position Surface form Disambiguated ID Type / Status
Subject M2 line E318109 entity
Predicate isPartOfPublicTransport P30511 FINISHED
Object public transport in Ankara 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: public transport in Ankara | Statement: [M2 line, isPartOfPublicTransport, public transport in Ankara]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isPartOfPublicTransport
Context triple: [M2 line, isPartOfPublicTransport, public transport in Ankara]
  • A. 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.
  • B. hasFormOfPublicTransit
    Indicates that one entity provides or is associated with a particular type or mode of public transportation for another entity or context.
  • C. isPublicTransportRoute chosen
    Indicates that a given route is designated and operated as part of a public transportation system available for general use.
  • D. hasPublicTransitFunction
    Indicates that something serves a role or provides a service related to public transportation operations or infrastructure.
  • E. hasPublicTransitRole
    Indicates that an entity holds a specific functional role or responsibility within a public transit system.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99e8d520881908aa23c7102b72b72 completed April 11, 2026, 1:06 a.m.
PD Predicate disambiguation batch_69d98f6fd8bc819086dddb6f376efa57 completed April 11, 2026, 12:01 a.m.
Created at: April 9, 2026, 9:32 p.m.