Triple

T15840436
Position Surface form Disambiguated ID Type / Status
Subject Mark Skaife E384086 entity
Predicate manufacturerAssociation P119866 FINISHED
Object Nissan E21556 NE FINISHED

How this triple was built (3 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: Nissan | Statement: [Mark Skaife, manufacturerAssociation, Nissan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nissan
Context triple: [Mark Skaife, manufacturerAssociation, Nissan]
  • A. Nissan chosen
    Nissan is a major Japanese automobile manufacturer known for producing a wide range of passenger cars, trucks, and electric vehicles sold globally.
  • B. Nissan
    Nissan is a river in southwestern Sweden that flows through the province of Halland before reaching the Kattegat.
  • C. Mitsubishi Motors
    Mitsubishi Motors is a Japanese automotive manufacturer known for producing a wide range of passenger cars, SUVs, and light commercial vehicles and for its involvement in global automotive alliances.
  • D. Mitsubishi
    Mitsubishi is a major Japanese multinational conglomerate known for its diverse businesses in industries such as automotive, heavy industry, finance, and electronics.
  • E. Datsun
    Datsun is a historic Japanese automobile brand, revived as a budget-focused marque under the Renault–Nissan–Mitsubishi Alliance and known for its small, affordable cars.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: manufacturerAssociation
Context triple: [Mark Skaife, manufacturerAssociation, Nissan]
  • A. manufacturerStatus
    Indicates the current operational or business condition of a manufacturer in relation to the product or agreement in question.
  • B. manufacturerType
    Indicates the classification or category of a manufacturer based on its role, characteristics, or production type.
  • C. manufacturerGroup
    Indicates that multiple manufacturers are associated together as a single group or consortium for a shared purpose or classification.
  • D. manufacturerAbbreviation
    Indicates that one entity is an abbreviated or shortened form of the manufacturer's name for another entity.
  • E. manufacturerDivision
    Indicates that one entity is a division, branch, or subdivision within the organizational structure of a manufacturing company.
  • F. None of above. chosen

Provenance (5 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_69d86da34c888190976e06c4019d415a completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e142e69360819091ea0556bd66d785 completed April 16, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa13c931481908ed9fd10fddd867c completed May 9, 2026, 9:03 p.m.
PD Predicate disambiguation batch_69e005418f588190824d91ff7974dada completed April 15, 2026, 9:38 p.m.
PDg Predicate description generation batch_69e007647f908190adb178c68c7bb7cf completed April 15, 2026, 9:47 p.m.
Created at: April 10, 2026, 4:49 a.m.