Triple

T6473385
Position Surface form Disambiguated ID Type / Status
Subject Stadler Rail E146008 entity
Predicate majorCustomer P927 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: [Stadler Rail, majorCustomer, Greater Anglia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greater Anglia
Context triple: [Stadler Rail, majorCustomer, 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. Govia Thameslink Railway
    Govia Thameslink Railway is a major UK train operating company that runs the Thameslink, Southern, Great Northern, and Gatwick Express services across London and surrounding regions.
  • E. 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.
  • 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_69c008fec7408190af7b146dc63d9750 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a32c0188190bcb3c35fc1d796a6 completed March 22, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c653a2b2508190a3691412f853ed6f completed March 27, 2026, 9:53 a.m.
Created at: March 22, 2026, 4:50 p.m.