Triple

T9140619
Position Surface form Disambiguated ID Type / Status
Subject Teesside urban area E219315 entity
Predicate hasMajorTown P316 FINISHED
Object Billingham E494568 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: Billingham | Statement: [Teesside urban area, hasMajorTown, Billingham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Billingham
Context triple: [Teesside urban area, hasMajorTown, Billingham]
  • A. Billingham chosen
    Billingham is an industrial town in County Durham, England, known historically for its chemical industry and proximity to the River Tees.
  • B. Leamouth
    Leamouth is a riverside district in East London where the River Lea meets the River Thames, known for its former industrial docks and recent waterside redevelopment.
  • C. Buckhaven
    Buckhaven is a coastal town in eastern Scotland, situated on the Firth of Forth in the historic county of Fife.
  • D. Jaywick
    Jaywick is a small coastal village in Essex, England, known for its seaside location and history of deprivation and flood risk.
  • E. Blyth
    Blyth is a coastal town and port in southeast Northumberland, England, known historically for coal mining and shipbuilding.
  • 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_69ca83e012288190a5771058adbaabd2 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8f2537881908956a9b0516e2d49 completed April 1, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0480ee2f081908ed98844784e465c completed April 3, 2026, 11:06 p.m.
Created at: March 30, 2026, 7:19 p.m.