Triple

T20771834
Position Surface form Disambiguated ID Type / Status
Subject London Euston – Liverpool E511254 entity
Predicate routeSection P21871 FINISHED
Object Stafford – Crewe NE NERFINISHED

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: Stafford – Crewe | Statement: [London Euston – Liverpool, routeSection, Stafford – Crewe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stafford – Crewe
Context triple: [London Euston – Liverpool, routeSection, Stafford – Crewe]
  • A. Crewe
    Crewe is a major railway town in Cheshire, England, historically known as a key junction on the British rail network and a center of railway engineering.
  • B. Birmingham – Liverpool
    Birmingham–Liverpool is a key intercity rail route in England linking the major cities of Birmingham and Liverpool via intermediate stations such as Stafford.
  • C. Stafford
    Stafford is a county in Northern Virginia known for its suburban communities, historical sites, and proximity to Washington, D.C.
  • D. Stafford
    Stafford is a small rural community located within the Township of South Dundas in eastern Ontario, Canada.
  • E. Stafford chosen
    Stafford is a historic market town in Staffordshire, England, known for its medieval castle, role as the county town, and long-standing regional administrative importance.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4ca01148190ac018e57e0cab46f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2681ff88190bfe5938c2db6b2c4 completed April 21, 2026, 12:18 a.m.
Created at: April 16, 2026, 12:37 p.m.