Triple

T36775100
Position Surface form Disambiguated ID Type / Status
Subject ECT E908593 entity
Predicate usedInTransportationSchedules P21407 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: [ECT, usedInTransportationSchedules, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedInTransportationSchedules
Context triple: [ECT, usedInTransportationSchedules, yes]
  • A. isUsedInTransportTimetables chosen
    Indicates that something is employed or referenced within transport timetables or schedules.
  • B. usedForRailwayTimetables
    Indicates that something is employed in the creation, organization, or presentation of railway timetables.
  • C. usedByTransitSystem
    Indicates that something is utilized or operated by a transit or public transportation system.
  • D. usedOnDepartureBoards
    Indicates that something (such as a name, code, or label) is the form that is shown on departure boards to represent a service or destination.
  • E. usedAsTransitRouteFor
    Indicates that something serves as a pathway or channel through which another entity is transported or moved.
  • 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_69f76e798aa08190ace31098d1b13e9f completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69ff1a972bf08190860696ffcd887c0f completed May 9, 2026, 11:29 a.m.
PD Predicate disambiguation batch_69ff184005d88190bf38283ebc499b28 completed May 9, 2026, 11:19 a.m.
Created at: May 3, 2026, 4:12 p.m.