Triple

T11910022
Position Surface form Disambiguated ID Type / Status
Subject KeolisAmey Docklands E283367 entity
Predicate owner P347 FINISHED
Object Keolis E27063 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: Keolis | Statement: [KeolisAmey Docklands, owner, Keolis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keolis
Context triple: [KeolisAmey Docklands, owner, Keolis]
  • A. Keolis chosen
    Keolis is a major French public transport operator that manages and operates bus, tram, metro, and rail networks in numerous cities worldwide.
  • B. KeolisAmey Wales
    KeolisAmey Wales was the train operating company that took over the Wales and Borders rail franchise from Arriva Trains Wales, providing passenger rail services across Wales and parts of England.
  • C. Govia
    Govia is a major British train operating company formed as a joint venture between the Go-Ahead Group and Keolis, running several rail franchises in the United Kingdom.
  • D. SYTRAL Mobilités
    SYTRAL Mobilités is the public transport authority for the Lyon metropolitan area in France, overseeing and organizing local transit networks including buses, trams, metros, and specialized services.
  • E. KeolisAmey Metrolink
    KeolisAmey Metrolink is the private operator responsible for running and maintaining Greater Manchester’s Metrolink light rail network in England.
  • 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_69d6ab2c07e88190ba13b0d21fd6cf33 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8e5278eb081909a7ecfe38beeeda9 completed April 10, 2026, 11:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69f44004b454819091b41bac99895106 completed May 1, 2026, 5:54 a.m.
Created at: April 8, 2026, 9:44 p.m.