Triple

T2310603
Position Surface form Disambiguated ID Type / Status
Subject London Overground E51947 entity
Predicate fareIntegrationWith P3494 FINISHED
Object London Buses E128280 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: London Buses | Statement: [London Overground, fareIntegrationWith, London Buses]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: London Buses
Context triple: [London Overground, fareIntegrationWith, London Buses]
  • A. London Buses chosen
    London Buses is the extensive red bus network that provides the primary public bus transport service throughout Greater London.
  • B. London Blackfriars (via lines)
    London Blackfriars (via lines) refers to the rail and Underground connections serving London Blackfriars station, a central London transport hub on the Thames.
  • C. Tramlink
    Tramlink is a light rail tram system serving the Croydon area and surrounding districts in South London.
  • D. Transport for London
    Transport for London is the local government body responsible for managing and overseeing the public transport network and major roads in Greater London.
  • E. London Underground
    The London Underground is a rapid transit system serving Greater London and surrounding areas, famous as one of the world's oldest and most extensive metro networks.
  • 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_69a88b0bb30c81908ded03b006d29387 completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc6098ce88190ba2e987e6f0737ac completed March 7, 2026, 6:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae8959d860819095ea3113e3d9264e completed March 9, 2026, 8:48 a.m.
Created at: March 4, 2026, 7:49 p.m.