Triple

T8401757
Position Surface form Disambiguated ID Type / Status
Subject Baldwin station E198388 entity
Predicate hasConnection P8776 FINISHED
Object NICE bus E582055 NE 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: NICE bus | Statement: [Baldwin station, hasConnection, NICE bus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NICE bus
Context triple: [Baldwin station, hasConnection, NICE bus]
  • A. NICE Bus chosen
    NICE Bus is a public bus system serving Nassau County and parts of Queens on Long Island, New York, operated under contract by Transdev.
  • B. BREEZE bus network
    The BREEZE bus network is a public transit system in northern San Diego County that provides local and regional bus services, integrating with rail lines like the SPRINTER to facilitate multimodal transportation.
  • C. Optibús
    Optibús is the bus rapid transit (BRT) system serving the city of León in the Mexican state of Guanajuato.
  • D. Busbridge
    Busbridge is a small village in Surrey, England, situated near the town of Godalming and known for its rural character and historic church.
  • E. SL buses
    SL buses are the public bus services operating within the Stockholm County public transport network in Sweden.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca8310df9c8190b25f16161cca3e41 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb824da3148190bfa3a1abfdfa02de completed March 31, 2026, 8:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde8789a608190a3503f544a19d204 completed April 2, 2026, 3:54 a.m.
Created at: March 30, 2026, 6:04 p.m.