Triple

T1417565
Position Surface form Disambiguated ID Type / Status
Subject Breckland line E31952 entity
Predicate operator P179 FINISHED
Object Greater Anglia E30534 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: Greater Anglia | Statement: [Breckland line, operator, Greater Anglia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greater Anglia
Context triple: [Breckland line, operator, Greater Anglia]
  • A. Greater Anglia chosen
    Greater Anglia is a British train operating company that provides passenger rail services across East Anglia and parts of London and the East of England.
  • B. Thameslink
    Thameslink is a major British rail network providing cross-London services that connect destinations across the South East of England.
  • C. Virgin Trains
    Virgin Trains was a British train operating company under Richard Branson’s Virgin Group brand that ran long-distance passenger rail services in the UK.
  • D. Luton DART
    Luton DART is an automated light rail people mover system that links Luton Airport with nearby transport connections, providing fast, driverless transit for passengers.
  • E. Northern Rail
    Northern Rail is a British train operating company providing regional and commuter rail services across Northern 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_69a49919a994819086528951bc224775 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c404e92c8190bd018673383f4534 completed March 1, 2026, 10:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad015cdc8881908887aa0fb0838145 completed March 8, 2026, 4:55 a.m.
Created at: March 1, 2026, 7:59 p.m.