Triple

T36199284
Position Surface form Disambiguated ID Type / Status
Subject UFC lightweight division E1047213 entity
Predicate nonTitleBoutRounds P141356 FINISHED
Object 3 rounds 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: 3 rounds | Statement: [UFC lightweight division, nonTitleBoutRounds, 3 rounds]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: nonTitleBoutRounds
Context triple: [UFC lightweight division, nonTitleBoutRounds, 3 rounds]
  • A. numberOfBouts
    Indicates the count of distinct bouts or separate occurrences of a repeated action or event associated with an entity.
  • B. typicalRoundsForTitleBouts
    Indicates the usual or standard number of rounds scheduled for championship (title) fights.
  • C. hasNonTitleRounds chosen
    Indicates that an event, competition, or series includes rounds that are not designated as title or championship rounds.
  • D. numberOfRoundsToWin
    Indicates the number of rounds an entity must win in a competition or game to be declared the overall winner.
  • E. thirdFightRounds
    Indicates the number of rounds that occurred in the third fight of a series or sequence of fights.
  • 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_69f76e414bdc8190996f15a544220a3d completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7b69b333081909cadbed3fcb8ecf5 completed May 3, 2026, 8:56 p.m.
PD Predicate disambiguation batch_69f7b4c2a5f8819094ad4621d7b97e0c completed May 3, 2026, 8:49 p.m.
Created at: May 3, 2026, 4:08 p.m.