Triple

T4233519
Position Surface form Disambiguated ID Type / Status
Subject Darby Transportation Center E94636 entity
Predicate publicTransitHub P2413 FINISHED
Object true 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: true | Statement: [Darby Transportation Center, publicTransitHub, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: publicTransitHub
Context triple: [Darby Transportation Center, publicTransitHub, true]
  • A. publicTransit
    Indicates that one entity provides or is connected via shared, scheduled transportation services (such as buses, trains, or subways) that are available for use by the general public.
  • B. transportHubType
    Indicates the specific category or kind of transport hub associated with an entity (e.g., airport, train station, bus terminal).
  • C. publicTransitMode
    Indicates the type of public transportation (e.g., bus, train, subway) used or associated with a given trip or segment.
  • D. hasTransportHub chosen
    Indicates that a location contains or serves as a central facility where multiple transport routes or modes connect for passenger or cargo movement.
  • E. transportationFacility
    Indicates that one entity is a facility or location used for the transportation or transit of people or goods in relation to 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_69b34537cc6481909cd0a96acbb33ef7 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e65720c819087c4022c774ff7c3 completed March 12, 2026, 11:38 p.m.
PD Predicate disambiguation batch_69b347f3bd188190b0cd613e8a5c1683 completed March 12, 2026, 11:10 p.m.
Created at: March 12, 2026, 11:05 p.m.