Triple

T829739
Position Surface form Disambiguated ID Type / Status
Subject Lancia E17936 entity
Predicate introducedInnovation P14232 FINISHED
Object first production car with a complete electrical system 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: first production car with a complete electrical system | Statement: [Lancia, introducedInnovation, first production car with a complete electrical system]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: introducedInnovation
Context triple: [Lancia, introducedInnovation, first production car with a complete electrical system]
  • A. innovation
    Indicates the introduction or development of something new or significantly improved compared to existing methods, products, or ideas.
  • B. introduced
    Indicates that one entity caused another entity to become known, presented, or brought into use for the first time to a person, group, or context.
  • C. technologyPioneered chosen
    Indicates that an entity was the first or among the first to develop, introduce, or significantly advance a particular technology.
  • D. innovationArea
    Indicates the thematic or domain-specific field in which an innovation is focused or applied.
  • E. introducedConcept
    Indicates that one entity is responsible for presenting, defining, or bringing a new concept into use or awareness for another entity or context.
  • 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_69a4937c9c188190aaa216f6b466f452 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ab9b458881909aa23f0eb7cbc87f completed March 1, 2026, 9:11 p.m.
PD Predicate disambiguation batch_69a4aa79a6488190a634388e071ed9b7 completed March 1, 2026, 9:07 p.m.
Created at: March 1, 2026, 7:38 p.m.