Triple

T4035006
Position Surface form Disambiguated ID Type / Status
Subject Cowcaddens subway station E83806 entity
Predicate hasAutomaticTicketGates P1973 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: [Cowcaddens subway station, hasAutomaticTicketGates, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAutomaticTicketGates
Context triple: [Cowcaddens subway station, hasAutomaticTicketGates, yes]
  • A. hasFaregates chosen
    Indicates that an entity is equipped with or contains faregates used to control or validate access, typically for paid entry.
  • B. hasTicketInspection
    Indicates that a ticket is checked or verified by an authorized inspector or system.
  • C. hasAutomaticEntrance
    Indicates that an entity is equipped with an entrance that operates automatically (e.g., opens or closes without manual effort).
  • D. hasSelfServiceTicketMachines
    Indicates that an entity is equipped with self-service ticket machines available for use.
  • E. hasPlatformScreenDoors
    Indicates that a transit station or platform is equipped with platform screen doors separating passengers from the tracks.
  • 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_69aed92f7cf0819098e0539bdcc3767f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb11d92481909aaebbc250ff45b9 completed March 9, 2026, 4:53 p.m.
PD Predicate disambiguation batch_69aef8fe440c819093a7fa22c4ff3f1a completed March 9, 2026, 4:44 p.m.
Created at: March 9, 2026, 3:36 p.m.