Triple

T24791819
Position Surface form Disambiguated ID Type / Status
Subject GT Le Mans E620269 entity
Predicate balanceOfPerformance P157135 FINISHED
Object used 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: used | Statement: [GT Le Mans, balanceOfPerformance, used]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: balanceOfPerformance
Context triple: [GT Le Mans, balanceOfPerformance, used]
  • A. balanceOfPerformance chosen
    Indicates a relationship where performance characteristics between entities are adjusted or equalized to maintain fairness or parity.
  • B. balancesWith
    Indicates that two entities are in a state of equilibrium or mutual offset, such that each counterbalances or matches the other in a specified context.
  • C. basedOnPerformanceBy
    Indicates that something is derived from, adapted from, or determined according to the performance carried out by a particular entity.
  • D. performanceWith
    Indicates a relationship where two or more entities participate together in the same performance or staged presentation.
  • E. performanceBasis
    Indicates that one entity’s performance is evaluated, determined, or justified on the basis of another specified factor, standard, or reference.
  • 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_69e2fabe77c8819085f7ce6486248139 completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f44a417a58819081777e18dda149fd completed May 1, 2026, 6:37 a.m.
PD Predicate disambiguation batch_69f442a977b08190b44eac040cb90211 completed May 1, 2026, 6:05 a.m.
Created at: April 18, 2026, 4:47 a.m.