Triple

T20027309
Position Surface form Disambiguated ID Type / Status
Subject Fiat FIRE petrol engines E495016 entity
Predicate emissionsTechnology P65838 FINISHED
Object multi-point fuel injection 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: multi-point fuel injection | Statement: [Fiat FIRE petrol engines, emissionsTechnology, multi-point fuel injection]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: emissionsTechnology
Context triple: [Fiat FIRE petrol engines, emissionsTechnology, multi-point fuel injection]
  • A. emissionsControl
    Indicates a relationship where one entity regulates, limits, or manages the release of emissions produced by another entity or process.
  • B. environmentalTechnology
    Indicates a relationship where a technology is designed for, applied to, or primarily concerned with protecting, monitoring, or improving the environment.
  • C. usesVehicleTechnology chosen
    Indicates that an entity employs or applies a specific vehicle-related technology in its operations, products, or activities.
  • D. energyTechnology
    Indicates a relationship where one entity is a type, instance, or application of an energy-related technology associated with the other entity.
  • E. fuelProductionTechnology
    Indicates the type of technology or method used to produce a particular fuel.
  • 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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6628e1eec81908e4c9b2b0b68f0e4 completed April 20, 2026, 5:29 p.m.
PD Predicate disambiguation batch_69e54ce752748190a0a1ffddd0372271 completed April 19, 2026, 9:45 p.m.
Created at: April 11, 2026, 3:35 p.m.