Triple

T17966118
Position Surface form Disambiguated ID Type / Status
Subject A666 road E449210 entity
Predicate passesThrough P225 FINISHED
Object Darwen 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: Darwen | Statement: [A666 road, passesThrough, Darwen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Darwen
Context triple: [A666 road, passesThrough, Darwen]
  • A. Darwen chosen
    Darwen is a market town in Lancashire, England, historically known for its textile industry and location in the West Pennine Moors.
  • B. Torresdale
    Torresdale is a residential neighborhood in the far northeastern section of Philadelphia, Pennsylvania, known for its proximity to the Delaware River and suburban character.
  • C. Walkden
    Walkden is a suburban town in the City of Salford, Greater Manchester, England, with its own railway station on the Atherton line.
  • D. Whitehaven
    Whitehaven is a residential neighborhood in South Memphis, Tennessee, best known as the location of Elvis Presley’s Graceland estate.
  • E. Whitehaven
    Whitehaven is a coastal town and port on the Irish Sea in northwest England, historically known for its Georgian architecture and maritime and mining heritage.
  • 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_69d8b9f9927c8190a006110c8b996e61 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4b1380960819089a3c0dd7cd57e5e completed April 19, 2026, 10:40 a.m.
Created at: April 10, 2026, 10:22 a.m.