Triple

T23262710
Position Surface form Disambiguated ID Type / Status
Subject NICE Bus E582055 entity
Predicate replaced P101 FINISHED
Object Long Island Bus 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: Long Island Bus | Statement: [NICE Bus, replaced, Long Island Bus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Long Island Bus
Context triple: [NICE Bus, replaced, Long Island Bus]
  • A. Long Island Bus chosen
    Long Island Bus was the former name of Nassau County's public bus system on Long Island, New York, once operated under contract by the MTA.
  • B. Suffolk County Transit
    Suffolk County Transit is a public bus system serving communities throughout Suffolk County on Long Island, New York.
  • C. Nassau Inter-County Express
    Nassau Inter-County Express is the public bus system serving Nassau County, New York, and parts of Queens, providing local and inter-county transit services.
  • D. MTA New York City Bus
    MTA New York City Bus is the public bus division of New York City's transit system, operating extensive local and express routes across the five boroughs.
  • E. Brooklyn bus network
    The Brooklyn bus network is an extensive system of local and limited-stop bus routes that provide surface transit service across the borough of Brooklyn in New York City, connecting neighborhoods to each other and to subway and commuter rail hubs.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e246079f58819085eaa9c260906880 completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f194caaf208190931923744692180d completed April 29, 2026, 5:19 a.m.
Created at: April 17, 2026, 4:11 p.m.