Triple

T13589205
Position Surface form Disambiguated ID Type / Status
Subject French preparatory classes E324646 entity
Predicate entryCompetition P69758 FINISHED
Object nationally competitive selection 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: nationally competitive selection | Statement: [French preparatory classes, entryCompetition, nationally competitive selection]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: entryCompetition
Context triple: [French preparatory classes, entryCompetition, nationally competitive selection]
  • A. eligibleCompetition
    Indicates that an entity meets the required conditions to participate in a particular competition.
  • B. competitionElement
    Indicates that one entity is a component, phase, or sub-event within a larger competitive event or contest.
  • C. competitionEntries chosen
    Indicates that one entity has submitted or is associated with one or more entries in a competition involving another entity.
  • D. competitionOf
    Indicates a relationship where one entity is the competitive event, contest, or rivalry involving another entity.
  • E. hasCompetition
    Indicates that one entity is in a state of rivalry or contest with another entity, typically competing for the same goal, resource, or advantage.
  • 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_69d80769100c819099111274614f5ed2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb055cc98819091fab597b69e5e3e completed April 12, 2026, 2:46 p.m.
PD Predicate disambiguation batch_69dbae18eaf48190809e8b365856cde9 completed April 12, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:49 p.m.