Triple

T36115301
Position Surface form Disambiguated ID Type / Status
Subject GR models E1044601 entity
Predicate fullFormOfGR P2351 FINISHED
Object Gazoo Racing NE NERFINISHED

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: Gazoo Racing | Statement: [GR models, fullFormOfGR, Gazoo Racing]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fullFormOfGR
Context triple: [GR models, fullFormOfGR, Gazoo Racing]
  • A. generalizedForm
    Indicates that one entity is a more abstract, generalized version or broader form of another entity.
  • B. expandedForm
    Indicates that one representation is the expanded or fully written-out form of another, typically decomposing it into a sum or more detailed expression.
  • C. fullFormOfBodyCreated
    Indicates that one entity is the complete, original version of a body from which another related or derived body is created.
  • D. standardizedFormOf
    Indicates that one entity is the normalized or officially standardized version of another, often consolidating variations or alternative forms into a single canonical form.
  • E. hasFullForm chosen
    Indicates that one entity is the complete, expanded, or unabbreviated form of another entity.
  • 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_69f76e344a4c8190af3858c6d78ba88f completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7b3e2f3c08190be4fd1ae4fa1266d completed May 3, 2026, 8:45 p.m.
PD Predicate disambiguation batch_69f7b1bcc47081909fe7d592ac69006c completed May 3, 2026, 8:36 p.m.
Created at: May 3, 2026, 4:08 p.m.