Triple

T27879298
Position Surface form Disambiguated ID Type / Status
Subject Slammiversary E705042 entity
Predicate hasNotableChampionshipContested P198282 FINISHED
Object Impact World Championship 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: Impact World Championship | Statement: [Slammiversary, hasNotableChampionshipContested, Impact World Championship]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNotableChampionshipContested
Context triple: [Slammiversary, hasNotableChampionshipContested, Impact World Championship]
  • A. hadChampionshipContender
    Indicates that an entity possessed or was associated with a competitor or team that was seriously in contention to win a championship.
  • B. hasNotableCompetitionLevel
    Indicates that an entity is associated with a significant or distinguished level of competition or competitive intensity.
  • C. hadNotableMatch
    Indicates that an entity participated in a specific match or contest that is considered significant or noteworthy.
  • D. hasNotableBoxer
    Indicates that an entity is associated with or characterized by a boxer who is considered notable or distinguished.
  • E. hasNotableContender
    Indicates that an entity has a significant rival, challenger, or competitor recognized as noteworthy in relation to it.
  • 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_69ef84111bb4819084298f994b31c62f completed April 27, 2026, 3:43 p.m.
NER Named-entity recognition batch_69fed83b1d188190a318b0ad3003200a completed May 9, 2026, 6:46 a.m.
PD Predicate disambiguation batch_69fed78e03548190b6e6ad93ae8d131d completed May 9, 2026, 6:43 a.m.
PDg Predicate description generation batch_69fed83a3b8c819092a3bd1ca9d9b38b completed May 9, 2026, 6:46 a.m.
Created at: April 27, 2026, 6:29 p.m.