Triple

T37830230
Position Surface form Disambiguated ID Type / Status
Subject Morris Park station E943178 entity
Predicate hasFareControlEquipment P1973 FINISHED
Object turnstiles 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: turnstiles | Statement: [Morris Park station, hasFareControlEquipment, turnstiles]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFareControlEquipment
Context triple: [Morris Park station, hasFareControlEquipment, turnstiles]
  • A. hasFareControlIntegrationSince
    Indicates that a fare control system has been integrated with another system or entity starting from a specific point in time.
  • B. hasFareControlLevel
    Indicates the degree or type of access control applied to a transit facility or area for fare payment and validation.
  • C. hasAutomaticFareCollection
    Indicates that an entity is equipped with a system that automatically collects fares or payments from users without manual processing.
  • D. hasFaregates chosen
    Indicates that an entity is equipped with or contains faregates used to control or validate access, typically for paid entry.
  • E. hasFareIntegration
    Indicates that two or more transportation services or systems share a coordinated fare structure, allowing passengers to use a single ticket or payment arrangement across them.
  • 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_69f76eea4c8c8190a335aed5955cf2db completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fe9dfaa2d08190b2084f63f842eb6b completed May 9, 2026, 2:37 a.m.
PD Predicate disambiguation batch_69fe9bba947c81908b0b2b92a4d19b37 completed May 9, 2026, 2:28 a.m.
Created at: May 3, 2026, 4:19 p.m.