Triple

T10857688
Position Surface form Disambiguated ID Type / Status
Subject Nova 3 E256312 entity
Predicate operator P179 FINISHED
Object TransPennine Express E9459 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: TransPennine Express | Statement: [Nova 3, operator, TransPennine Express]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TransPennine Express
Context triple: [Nova 3, operator, TransPennine Express]
  • A. TransPennine Express chosen
    TransPennine Express is a British train operating company providing intercity and regional rail services across northern England and into Scotland.
  • B. North West Trains
    North West Trains was a British train operating company that ran regional and commuter rail services in North West England following rail privatization in the mid-1990s.
  • C. Northern Rail
    Northern Rail is a British train operating company providing regional and commuter rail services across Northern England.
  • D. Northern Trains
    Northern Trains is a British train operating company that runs local and regional passenger rail services across Northern England.
  • E. London Midland
    London Midland was a former British train operating company that ran regional and intercity passenger services across the West Midlands and surrounding areas until its franchise ended in 2017.
  • 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_69d6aa83d1448190a66d93c32394d21f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d751377da88190a7244bb9d6b0c2ec completed April 9, 2026, 7:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb197808c8190b1c80aeb2144a909 completed April 14, 2026, 9:28 p.m.
Created at: April 8, 2026, 9:20 p.m.