Triple

T31844910
Position Surface form Disambiguated ID Type / Status
Subject J (New York City Subway service) E812910 entity
Predicate weekdaySkipStopPartner P61819 FINISHED
Object Z (New York City Subway service) NE NERFINISHED

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: Z (New York City Subway service) | Statement: [J (New York City Subway service), weekdaySkipStopPartner, Z (New York City Subway service)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: weekdaySkipStopPartner
Context triple: [J (New York City Subway service), weekdaySkipStopPartner, Z (New York City Subway service)]
  • A. skipStopPartner chosen
    Indicates that one entity is a designated partner with whom another entity coordinates or alternates in skipping a particular stop or set of stops.
  • B. cooperationPartner
    Indicates that two entities are engaged in a collaborative relationship, working together toward shared goals or mutual benefit.
  • C. endedPartnershipWith
    Indicates that a previously existing partnership or collaborative relationship between two entities has been terminated.
  • D. frequentPartner
    Indicates that two entities regularly engage in a shared activity or interaction together more often than with others.
  • E. weekendCounterpart
    Indicates a relationship where one entity serves as the corresponding or equivalent version of another entity specifically for weekends.
  • 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_69f348eb327881909b4584b925742f6e completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6b03577f88190a30e05f3aa0110c6 completed May 3, 2026, 2:17 a.m.
PD Predicate disambiguation batch_69f6aca59d4881908d14ed47962703bd completed May 3, 2026, 2:02 a.m.
Created at: April 30, 2026, 11:50 p.m.