Triple

T1970731
Position Surface form Disambiguated ID Type / Status
Subject Queens Plaza E42792 entity
Predicate isTransferStation P15892 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: [Queens Plaza, isTransferStation, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isTransferStation
Context triple: [Queens Plaza, isTransferStation, yes]
  • A. isMajorStationOn
    Indicates that a station serves as a primary or significant stop on a particular route or line.
  • B. servesAsThroughStationFor
    Indicates that a station functions as an intermediate (through) stop for a particular service, route, or journey rather than as its starting or ending point.
  • C. isTransportationHubCodeFor
    Indicates that a given code uniquely identifies and represents a specific transportation hub, such as a station, airport, or terminal.
  • D. interchangeStation chosen
    Indicates a station where passengers can transfer between different routes, lines, or modes of transportation.
  • E. isTransportHubBetween
    Indicates that a location functions as a central node facilitating transportation connections between two or more other places.
  • 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_69a88711151c8190940b2572095059d7 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb3d2836c8190a35cb6d8e2dd4bdf completed March 7, 2026, 5:12 a.m.
PD Predicate disambiguation batch_69abaff7d4a48190ab0d51aefb1c4e31 completed March 7, 2026, 4:56 a.m.
Created at: March 4, 2026, 7:36 p.m.