Triple

T12372405
Position Surface form Disambiguated ID Type / Status
Subject Castrol E295034 entity
Predicate hasBrand P1500 FINISHED
Object Castrol Braycote E295034 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: Castrol Braycote | Statement: [Castrol, hasBrand, Castrol Braycote]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Castrol Braycote
Context triple: [Castrol, hasBrand, Castrol Braycote]
  • A. Castrol chosen
    Castrol is a global brand of industrial and automotive lubricants, best known for its high-performance motor oils and long-standing involvement in motorsports sponsorship.
  • B. Neste Oil
    Neste Oil was the former name of Neste, a Finnish energy company best known today for its production of renewable fuels and sustainable energy solutions.
  • C. Swinton
    Swinton is a small rural village in the historic county of Berwickshire in the Scottish Borders region of Scotland.
  • D. 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.
  • E. Crown Oil
    Crown Oil is a UK-based fuel and lubricants supplier known for its commercial and domestic heating oil services and sponsorship of sports teams.
  • 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_69d6ab6d8a4081908636601e69ddf262 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93fa7c9ec81908c685612994543e3 completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62abfd9c081909803691d3fc4f149 completed May 2, 2026, 4:48 p.m.
Created at: April 8, 2026, 9:54 p.m.