Triple

T22203907
Position Surface form Disambiguated ID Type / Status
Subject Huncoat E548751 entity
Predicate servedByBusServices P39381 FINISHED
Object local Accrington bus network 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: local Accrington bus network | Statement: [Huncoat, servedByBusServices, local Accrington bus network]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: servedByBusServices
Context triple: [Huncoat, servedByBusServices, local Accrington bus network]
  • A. hasBusServices chosen
    Indicates that one location or entity is served by bus routes or bus transportation provided by another.
  • B. transportationServedBy
    Indicates that a transportation facility, route, or area is provided service or coverage by a specific transportation provider or mode.
  • C. servedByTransportation
    Indicates that a location or entity is provided access or connection by a particular mode or service of transportation.
  • D. isPublicTransportBackboneOf
    Indicates that one transport system serves as the primary structural and functional core of a region’s overall public transportation network.
  • E. hasCommuterServices
    Indicates that a location or facility provides transportation services specifically intended for regular commuters, such as daily or frequent travelers between home and work or school.
  • 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_69e11e3ecc7c8190b5f94cd8f42e9d37 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12b25eac4819094b3c50027ed66db completed April 28, 2026, 9:48 p.m.
PD Predicate disambiguation batch_69e71b4dcc408190a30429fb08fcf39e completed April 21, 2026, 6:38 a.m.
Created at: April 16, 2026, 8:36 p.m.