Triple

T13426105
Position Surface form Disambiguated ID Type / Status
Subject Rally1 E313485 entity
Predicate hasPowertrainType P45712 FINISHED
Object hybrid LITERAL 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: hybrid | Statement: [Rally1, hasPowertrainType, hybrid]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPowertrainType
Context triple: [Rally1, hasPowertrainType, hybrid]
  • A. winnerPowertrainType
    Indicates the type of powertrain used by the entity that is identified as the winner in a given context or competition.
  • B. powertrainComponentOf
    Indicates that one entity is a component or subsystem that forms part of the powertrain of another entity.
  • C. primaryPowertrain chosen
    Indicates the main powertrain system that primarily provides propulsion or drive power for a vehicle or machine.
  • D. powertrainProduction
    Indicates a relationship where an entity is involved in the manufacturing or assembly of a vehicle’s powertrain components.
  • E. offersPowertrain
    Indicates that one entity provides or makes available a specific powertrain to another entity or for a particular product.
  • F. None of above.

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_69d806ad0c44819088833ae1ec9e9690 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaed066408190a416880affd8416e completed April 12, 2026, 2:40 p.m.
PD Predicate disambiguation batch_69d9a0355de48190bb3fb96912e20df3 completed April 11, 2026, 1:13 a.m.
Created at: April 9, 2026, 9:40 p.m.