Triple

T24203794
Position Surface form Disambiguated ID Type / Status
Subject SummerSlam E600046 entity
Predicate usesMatchType P155179 FINISHED
Object singles match 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: singles match | Statement: [SummerSlam, usesMatchType, singles match]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesMatchType
Context triple: [SummerSlam, usesMatchType, singles match]
  • A. includesMatchType
    Indicates that one entity’s set or collection contains an element with a specified type of match (e.g., exact, partial, or pattern-based) to another entity.
  • B. matchesType
    Indicates that one entity has the same or a compatible type as another entity according to a defined type system or classification.
  • C. usedInMatchType
    Indicates that something (such as a rule, item, or configuration) is applied or relevant within a specific type or category of match.
  • D. usesMatchesFrom
    Indicates that one entity relies on or incorporates matches (e.g., pattern matches, rule matches, or result matches) produced by another entity or process.
  • E. matchType
    Indicates the specific category or nature of how two or more entities correspond or align with each other within a given context.
  • 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_69e288ceaab88190899d0acb5931591d completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f27ca38c148190ae65cd692567d43d completed April 29, 2026, 9:48 p.m.
PD Predicate disambiguation batch_69f1c43e55688190b55fc20274ed471c completed April 29, 2026, 8:41 a.m.
PDg Predicate description generation batch_69f1c9834064819082024233d9c6f98f completed April 29, 2026, 9:04 a.m.
Created at: April 17, 2026, 11:37 p.m.