Triple

T441064
Position Surface form Disambiguated ID Type / Status
Subject British English E10113 entity
Predicate hasRegionalVariety P1762 FINISHED
Object Scouse E15386 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: Scouse | Statement: [British English, hasRegionalVariety, Scouse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scouse
Context triple: [British English, hasRegionalVariety, Scouse]
  • A. Blackpool
    Blackpool is a famous seaside resort town in northwest England known for its beach, promenade, and landmark Blackpool Tower.
  • B. Liverpool chosen
    Liverpool is a major port city in northwest England known for its maritime heritage, cultural influence, and role as the birthplace of The Beatles.
  • C. Belfast
    Belfast is the capital and largest city of Northern Ireland, known for its historic shipbuilding industry, including the construction of the RMS Titanic, and its central role in the region’s political and cultural history.
  • D. Blackburn
    Blackburn is a large industrial town in Lancashire, England, historically known for its textile manufacturing and located north of Manchester.
  • E. Morecambe
    Morecambe is a seaside resort town on the coast of Morecambe Bay in north-west England, known for its promenade, beaches, and views across the bay to the Lake District.
  • 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_69a2e8465ef481909655c681b01e2986 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2ef2af84881909635ebbbb3465b1b completed Feb. 28, 2026, 1:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69a462f3f5b4819089f05339d8422cd0 completed March 1, 2026, 4:01 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.