Triple

T12397398
Position Surface form Disambiguated ID Type / Status
Subject DN postcode area E296151 entity
Predicate containsPostTown P2711 FINISHED
Object Castleford E142397 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: Castleford | Statement: [DN postcode area, containsPostTown, Castleford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Castleford
Context triple: [DN postcode area, containsPostTown, Castleford]
  • A. Castleford chosen
    Castleford is a historic industrial town in northern England known for its coal mining heritage and location near the River Aire.
  • B. Huddersfield
    Huddersfield is a large market town in West Yorkshire, England, known for its Victorian architecture, university, and role in the Industrial Revolution.
  • C. Featherstone
    Featherstone is a small town in West Yorkshire, England, historically known for its coal mining heritage and strong working-class community.
  • D. Wakefield
    Wakefield is a historic cathedral city in West Yorkshire, Northern England, known for its medieval heritage and role as an administrative and commercial center in the region.
  • E. Wakefield
    Wakefield is a picturesque village in western Quebec, Canada, known for its historic covered bridge, arts community, and scenic setting along the Gatineau River.
  • 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fd448f08190af425a569d7ed158 completed April 10, 2026, 6:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63480a8bc8190885130f63a3ec761 completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:54 p.m.