Triple

T10302763
Position Surface form Disambiguated ID Type / Status
Subject Warden station E241672 entity
Predicate hasShelteredBusPlatforms P24211 FINISHED
Object true 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: true | Statement: [Warden station, hasShelteredBusPlatforms, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasShelteredBusPlatforms
Context triple: [Warden station, hasShelteredBusPlatforms, true]
  • A. hasBusPlatforms
    Indicates that a location or facility is equipped with one or more designated platforms for boarding or alighting from buses.
  • B. hasPassengerShelterOnEachPlatform
    Indicates that every platform at a given location is equipped with a passenger shelter.
  • C. hasShelteredPlatforms chosen
    Indicates that the subject provides or includes platforms that are covered or protected from the elements.
  • D. hasSubwayPlatforms
    Indicates that an entity is equipped with one or more platforms specifically serving a subway or metro rail system.
  • E. hasSuburbanPlatforms
    Indicates that an entity (typically a railway station or transit hub) includes platforms specifically designated for suburban or commuter train services.
  • 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_69d381ac38808190a8ca7457c85b625b completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d30846108190875042ab1c0204e0 completed April 7, 2026, 9:48 a.m.
PD Predicate disambiguation batch_69d4d1f35e548190be3b4d92d65d2d20 completed April 7, 2026, 9:44 a.m.
Created at: April 6, 2026, 11:45 a.m.