Triple

T5560412
Position Surface form Disambiguated ID Type / Status
Subject Luton DART E145750 entity
Predicate operator P179 FINISHED
Object Abellio E122414 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: Abellio | Statement: [Luton DART, operator, Abellio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abellio
Context triple: [Luton DART, operator, Abellio]
  • A. Abellio chosen
    Abellio is a Dutch-based public transport company that operates train and bus services in the United Kingdom and parts of Europe.
  • B. Urban Rail Transport S.A.
    Urban Rail Transport S.A. is the public company responsible for operating and managing urban rail systems in Athens, Greece, including metro and tram services.
  • C. Systra
    Systra is a global engineering and consulting firm specializing in mass transit and rail infrastructure projects.
  • D. KeolisAmey Metrolink
    KeolisAmey Metrolink is the private operator responsible for running and maintaining Greater Manchester’s Metrolink light rail network in England.
  • E. Adif
    Adif is Spain’s state-owned railway infrastructure manager responsible for the construction, maintenance, and operation of most of the country’s rail network and stations.
  • 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_69c008fcaf788190bafa02a1917ee73b completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0201857848190a5443b51bcdb63fa completed March 22, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_69c028424ddc8190869b530a8eb43f50 completed March 22, 2026, 5:34 p.m.
Created at: March 22, 2026, 3:36 p.m.