Triple

T11467838
Position Surface form Disambiguated ID Type / Status
Subject 4×100 metre freestyle relay E271822 entity
Predicate featuredInCompetition P99442 FINISHED
Object Olympic Games swimming programme 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: Olympic Games swimming programme | Statement: [4×100 metre freestyle relay, featuredInCompetition, Olympic Games swimming programme]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: featuredInCompetition
Context triple: [4×100 metre freestyle relay, featuredInCompetition, Olympic Games swimming programme]
  • A. featuredCompetition
    Indicates that a particular competition is highlighted or given special prominence relative to others.
  • B. usedInCompetition
    Indicates that something is employed or utilized as part of a competition or contest.
  • C. 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.
  • D. competeIn
    Indicates that an entity takes part as a contender in a particular event, activity, or domain where performance is compared against others.
  • E. featuredCompetitionLevel
    Indicates that a particular competition level is highlighted or given special prominence relative to other levels.
  • F. None of above. chosen

Provenance (4 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d82949e3688190b024a4980666c94f completed April 9, 2026, 10:33 p.m.
PD Predicate disambiguation batch_69d8086ecd6c81908f424864857762d6 completed April 9, 2026, 8:13 p.m.
PDg Predicate description generation batch_69d8279925e4819089210611c0d8e61a completed April 9, 2026, 10:26 p.m.
Created at: April 8, 2026, 9:35 p.m.