Triple

T28459834
Position Surface form Disambiguated ID Type / Status
Subject New York City Subway Line 5 E720119 entity
Predicate fleetCompatibility P55211 FINISHED
Object compatible with other IRT numbered services 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: compatible with other IRT numbered services | Statement: [New York City Subway Line 5, fleetCompatibility, compatible with other IRT numbered services]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fleetCompatibility
Context triple: [New York City Subway Line 5, fleetCompatibility, compatible with other IRT numbered services]
  • A. fleetIncludes
    Indicates that a particular fleet contains or is composed of the specified entity or entities as its members.
  • B. mechanicalCompatibility
    Indicates that two entities can function together properly from a mechanical standpoint, without interference, damage, or performance issues.
  • C. supportsVehicle
    Indicates that one entity provides the necessary strength, stability, or structure to bear the weight of a vehicle.
  • D. engineUsedIn
    Indicates that a particular engine is utilized as a component or power source within a specified system, device, or application.
  • E. usesRollingStockCompatibleWith chosen
    Indicates that one entity operates using rolling stock that is technically and operationally compatible with the rolling stock standards or systems associated with another entity.
  • 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_69f01a58a67c819097936d9e8da8d6e6 completed April 28, 2026, 2:24 a.m.
NER Named-entity recognition batch_69f64ea4d644819092d142a5f62f643c completed May 2, 2026, 7:21 p.m.
PD Predicate disambiguation batch_69f64caede108190a35cc7cbfead866f completed May 2, 2026, 7:12 p.m.
Created at: April 28, 2026, 2:38 a.m.