Triple

T12172930
Position Surface form Disambiguated ID Type / Status
Subject Clive Sinclair E290014 entity
Predicate hasEmployer P7 FINISHED
Object Sinclair Vehicles E967258 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: Sinclair Vehicles | Statement: [Clive Sinclair, hasEmployer, Sinclair Vehicles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sinclair Vehicles
Context triple: [Clive Sinclair, hasEmployer, Sinclair Vehicles]
  • A. Sinclair Vehicles chosen
    Sinclair Vehicles was a British company best known for producing the Sinclair C5, an early and ultimately unsuccessful attempt at a small electric personal vehicle in the 1980s.
  • B. Scammell
    Scammell is an English surname borne by various notable individuals, including figures in American Revolutionary history and British industry.
  • C. Costain
    Costain is a notable area and transport junction in Lagos, Nigeria, known for its busy road network and proximity to key industrial and commercial districts.
  • D. Whichford
    Whichford is a small rural village and civil parish in Warwickshire, England, known for its traditional Cotswold stone buildings and historic parish church.
  • E. Swinton
    Swinton is a town in the City of Salford, Greater Manchester, England, known historically for its role in the coal mining and textile industries.
  • 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_69d6ab4d6c00819095a9a7c35de83cfb completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915dab42881908e2580c631d4d1cf completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a85e42481908c5517a24f7688e0 completed May 2, 2026, 2:30 p.m.
Created at: April 8, 2026, 9:50 p.m.