Triple

T12372406
Position Surface form Disambiguated ID Type / Status
Subject Castrol E295034 entity
Predicate hasBrand P1500 FINISHED
Object Castrol LubeCon 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 LubeCon | Statement: [Castrol, hasBrand, Castrol LubeCon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Castrol LubeCon
Context triple: [Castrol, hasBrand, Castrol LubeCon]
  • 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. S-Oil
    S-Oil is a major South Korean oil refining and petrochemical company known for operating large-scale refinery facilities and producing fuels and lubricants for domestic and international markets.
  • C. Mobil Delvac
    Mobil Delvac is a long-standing line of heavy-duty diesel engine oils and lubricants designed for commercial vehicles and industrial applications.
  • D. Fuchs Petrolub
    Fuchs Petrolub is a global German manufacturer specializing in lubricants and related specialty products for automotive, industrial, and other applications.
  • E. Lucas Oil
    Lucas Oil is an American manufacturer and distributor of automotive oils, lubricants, and additives widely used in consumer, commercial, and motorsports applications.
  • 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_69f684d0315c8190988431785a7b1e1e completed May 2, 2026, 11:12 p.m.
Created at: April 8, 2026, 9:54 p.m.