Triple

T32682691
Position Surface form Disambiguated ID Type / Status
Subject Utica station E835629 entity
Predicate isFreightStation P78734 FINISHED
Object no 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: no | Statement: [Utica station, isFreightStation, no]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isFreightStation
Context triple: [Utica station, isFreightStation, no]
  • A. isFreightStationCode
    Indicates that a given code uniquely identifies a freight railway station within a transportation or logistics system.
  • B. hasFreightFacility chosen
    Indicates that an entity is equipped with or connected to a facility used for handling, loading, unloading, or storing freight.
  • C. isOnFreightRoute
    Indicates that something lies along or is included within a designated freight transportation route used for moving goods.
  • D. isFreightService
    Indicates that the referenced service operates as a freight or cargo transportation service rather than a passenger service.
  • E. isStationOf
    Indicates that a given location functions as a station (e.g., transport or service hub) associated with or serving a particular system, line, route, or organization.
  • 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_69f3493211388190993801216afbc2a7 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6c7ea33c48190a88f71db09d595e4 completed May 3, 2026, 3:58 a.m.
PD Predicate disambiguation batch_69f6c3f617c08190a70ba880210f908c completed May 3, 2026, 3:41 a.m.
Created at: May 1, 2026, 1:09 a.m.