Triple

T6571251
Position Surface form Disambiguated ID Type / Status
Subject Long Beach station E155442 entity
Predicate hasConnection P8776 FINISHED
Object NICE bus services 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 services | Statement: [Long Beach station, hasConnection, NICE bus services]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NICE bus services
Context triple: [Long Beach station, hasConnection, NICE bus services]
  • 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. First Bus
    First Bus is a major UK bus operator providing local and regional public transport services in numerous towns and cities.
  • C. Carris bus lines
    Carris bus lines are the public bus services operating in Lisbon, Portugal, connecting neighborhoods such as Graça with the rest of the city.
  • D. Nottingham City Transport
    Nottingham City Transport is the main bus operator serving Nottingham and its surrounding areas, providing extensive urban and suburban public transport services.
  • E. R-net bus services
    R-net bus services are a high-quality, frequent regional public transport network operating buses across parts of the Netherlands, particularly in the Randstad area.
  • 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_69c688151254819080387f87deab8fa7 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae5791e881909d0b340aa63c6223 completed March 27, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d56a7de88190948fdd052dd4d5d5 completed March 27, 2026, 7:07 p.m.
Created at: March 27, 2026, 1:53 p.m.