Triple

T24832979
Position Surface form Disambiguated ID Type / Status
Subject LMP3 E621388 entity
Predicate eligibleDrivers P83633 FINISHED
Object FIA Silver drivers 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: FIA Silver drivers | Statement: [LMP3, eligibleDrivers, FIA Silver drivers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: eligibleDrivers
Context triple: [LMP3, eligibleDrivers, FIA Silver drivers]
  • A. allowsCupDrivers
    Indicates that one entity grants permission or authorization for Cup drivers to participate in or make use of another entity.
  • B. eligiblePersons chosen
    Indicates that certain persons meet the required conditions or criteria to qualify for a particular status, benefit, or participation.
  • C. hasAIDrivers
    Indicates that an entity possesses or is equipped with AI-based drivers that control or operate it.
  • D. eligibleFrom
    Indicates that a subject becomes or is considered eligible starting from a specified point in time or condition.
  • E. driverRequirement
    Indicates that a certain driver, qualification, or driving-related condition is required for an entity to perform or be associated with a particular role, task, or operation.
  • 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_69e2fac0c3b881909110e5a56c6fa46f completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f497bc12b881908fe3386c66252bf6 completed May 1, 2026, 12:08 p.m.
PD Predicate disambiguation batch_69f49366e8d08190adb4b71fe3a14683 completed May 1, 2026, 11:49 a.m.
Created at: April 18, 2026, 5:16 a.m.