Triple

T4406521
Position Surface form Disambiguated ID Type / Status
Subject London airport system E93744 entity
Predicate servedBy P82 FINISHED
Object Thameslink E31951 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: Thameslink | Statement: [London airport system, servedBy, Thameslink]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thameslink
Context triple: [London airport system, servedBy, Thameslink]
  • A. Thameslink chosen
    Thameslink is a major British rail network providing cross-London services that connect destinations across the South East of England.
  • B. Northern Rail
    Northern Rail is a British train operating company providing regional and commuter rail services across Northern England.
  • C. City Thameslink
    City Thameslink is a central London railway station on the Thameslink route, serving commuter and regional services through the City of London.
  • 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. Northern Trains
    Northern Trains is a British train operating company that runs local and regional passenger 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_69b345158c748190a2c040fce2da9980 completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b35489f6948190a4b2c259f64b4abf completed March 13, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6374a22c88190ba36ddb180634573 completed March 15, 2026, 4:36 a.m.
Created at: March 12, 2026, 11:28 p.m.