Triple

T23223458
Position Surface form Disambiguated ID Type / Status
Subject BMT Brighton Line at Coney Island–Stillwell Avenue E580955 entity
Predicate hasLineOrientation P42939 FINISHED
Object north–south alignment on approach 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: north–south alignment on approach | Statement: [BMT Brighton Line at Coney Island–Stillwell Avenue, hasLineOrientation, north–south alignment on approach]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLineOrientation
Context triple: [BMT Brighton Line at Coney Island–Stillwell Avenue, hasLineOrientation, north–south alignment on approach]
  • A. lineOrientation chosen
    Indicates the directional alignment or angle of a line relative to a reference frame or axis.
  • B. hasOrientation
    Indicates that one entity is positioned or directed in a specific spatial or conceptual alignment relative to a reference frame or another entity.
  • C. hasOrientationInUse
    Indicates that an entity, when in use or operation, is oriented in a specific direction or spatial alignment.
  • D. hasStripeOrientation
    Indicates the directional arrangement or alignment of stripes present on an entity.
  • E. hasFieldOrientation
    Indicates that one entity has a specified directional or spatial orientation relative to a field (such as magnetic, electric, or visual field).
  • 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_69e246043c48819089bae72c9a9c306c completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f1922b4a348190ae570a869e30059f completed April 29, 2026, 5:07 a.m.
PD Predicate disambiguation batch_69effcccee508190a7ae311fdd319806 completed April 28, 2026, 12:18 a.m.
Created at: April 17, 2026, 4:08 p.m.