Triple

T24016638
Position Surface form Disambiguated ID Type / Status
Subject Myrtle–Wyckoff Avenues E594693 entity
Predicate fareControlLayout P154876 FINISHED
Object multiple mezzanines 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: multiple mezzanines | Statement: [Myrtle–Wyckoff Avenues, fareControlLayout, multiple mezzanines]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fareControlLayout
Context triple: [Myrtle–Wyckoff Avenues, fareControlLayout, multiple mezzanines]
  • A. fareControl
    Indicates that an entity is responsible for monitoring, enforcing, or managing payment of fares for access to a service or facility.
  • B. fareControlUnifiedWith
    Indicates that separate fare control areas are combined into a single, shared fare-controlled zone.
  • C. fareControlLocation
    Indicates a location where access to or use of a transportation service is regulated, checked, or controlled for fare payment.
  • D. fareControlSeparatedFrom
    Indicates that the fare-controlled (ticketed) area of one transit facility is physically separated from that of another, requiring passengers to exit and re-enter fare control to transfer between them.
  • E. controlLayout
    Indicates that one entity determines or manages the spatial or structural arrangement of another entity.
  • F. None of above. chosen

Provenance (4 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_69e288bc8f608190ac4af29f0bd1c744 completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1d5a3f5a08190b7170270c4fcf080 completed April 29, 2026, 9:55 a.m.
PD Predicate disambiguation batch_69f17639d23c8190bed93434e2f9230a completed April 29, 2026, 3:08 a.m.
PDg Predicate description generation batch_69f17c28b684819084eea522126463f8 completed April 29, 2026, 3:34 a.m.
Created at: April 17, 2026, 9:42 p.m.