Triple

T37405293
Position Surface form Disambiguated ID Type / Status
Subject London Buses route 381 E929110 entity
Predicate hasServiceProviderCategory P202453 FINISHED
Object public transport 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: public transport | Statement: [London Buses route 381, hasServiceProviderCategory, public transport]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasServiceProviderCategory
Context triple: [London Buses route 381, hasServiceProviderCategory, public transport]
  • A. hasServiceProvider
    Indicates that an entity is associated with or supported by a specific service provider.
  • B. hasSupportCategory
    Indicates that an entity is associated with a particular type or category of support it receives or provides.
  • C. hasServiceType
    Indicates that an entity is associated with or categorized by a particular type of service.
  • D. hasServiceTo
    Indicates that one entity provides, offers, or operates a service for or directed toward another entity.
  • E. hasServiceFrom
    Indicates that one entity receives or benefits from a service provided by another entity.
  • F. None of above. chosen

Provenance (4 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_69f76ebbf79c8190b85bbcf3a6be57e4 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_6a008098e5dc8190b7ccad8bab780343 completed May 10, 2026, 12:56 p.m.
PD Predicate disambiguation batch_6a008037267c8190990225a6ff0b3694 completed May 10, 2026, 12:55 p.m.
PDg Predicate description generation batch_6a00809836f081908de40255d4f4d525 completed May 10, 2026, 12:56 p.m.
Created at: May 3, 2026, 4:16 p.m.