Triple

T1177952
Position Surface form Disambiguated ID Type / Status
Subject New Jersey Route 27 E25070 entity
Predicate publicTransportUse P19608 FINISHED
Object served by multiple local bus routes 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: served by multiple local bus routes | Statement: [New Jersey Route 27, publicTransportUse, served by multiple local bus routes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: publicTransportUse
Context triple: [New Jersey Route 27, publicTransportUse, served by multiple local bus routes]
  • A. hasPublicTransportUsage chosen
    Indicates that an entity makes use of, or is associated with the use of, public transportation services.
  • B. publicTransportAuthority
    Indicates that one entity serves as the governing or managing authority responsible for overseeing public transportation services related to another entity.
  • C. publicTransportZone
    Indicates that an entity is located within, associated with, or valid for a specific public transportation fare or service zone.
  • D. passesUsedForTransportation
    Indicates that the passes are utilized as a means or instrument for transporting people or goods.
  • E. 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.
  • 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_69a494267b4c819088c97a59182bf56a completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd53e4b48190abb2167f8074a6bc completed March 1, 2026, 10:27 p.m.
PD Predicate disambiguation batch_69a4bb5844348190b01ac6506906ba3b completed March 1, 2026, 10:19 p.m.
Created at: March 1, 2026, 7:45 p.m.