Triple

T36971966
Position Surface form Disambiguated ID Type / Status
Subject I-110 E914592 entity
Predicate publicTransitFacility P25244 FINISHED
Object Harbor Transitway busway 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: Harbor Transitway busway | Statement: [I-110, publicTransitFacility, Harbor Transitway busway]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: publicTransitFacility
Context triple: [I-110, publicTransitFacility, Harbor Transitway busway]
  • 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. transportationFacility chosen
    Indicates that one entity is a facility or location used for the transportation or transit of people or goods in relation to another entity.
  • C. servesTransitFacility
    Indicates that one entity provides service or operational support to a transit facility, such as a station, stop, or terminal.
  • D. publicFacilities
    Indicates that the subject provides, contains, or is associated with facilities intended for use by the general public.
  • E. publicTransitStop
    Indicates that a location serves as a designated stop or station where public transit vehicles (such as buses, trains, or trams) pick up and drop off passengers.
  • 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_69f76e8d13b4819089af24a47ce092fc completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69ffdf47d9608190830ca23d9cef6409 completed May 10, 2026, 1:28 a.m.
PD Predicate disambiguation batch_69ffdf00e2b4819082dd5cb78f316baf completed May 10, 2026, 1:27 a.m.
Created at: May 3, 2026, 4:14 p.m.