Triple

T26675459
Position Surface form Disambiguated ID Type / Status
Subject Castillo vs. Corrales I E672442 entity
Predicate totalRoundsScheduled P159663 FINISHED
Object 12 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: 12 | Statement: [Castillo vs. Corrales I, totalRoundsScheduled, 12]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: totalRoundsScheduled
Context triple: [Castillo vs. Corrales I, totalRoundsScheduled, 12]
  • A. scheduledRounds chosen
    Indicates that specific rounds or sessions have been planned and assigned to occur at designated times.
  • B. numberOfGamesScheduled
    Indicates the total count of games that have been planned or arranged for a given entity or time period.
  • C. roundsPerTournament
    Indicates the number of rounds that occur within a single tournament.
  • D. numberOfRoundsToWin
    Indicates the number of rounds an entity must win in a competition or game to be declared the overall winner.
  • E. titleClinchedRoundsRemaining
    Indicates the number of rounds remaining in a competition or season at the point when a title or championship has been mathematically secured.
  • 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_69eecda13424819092b17942c4edf722 completed April 27, 2026, 2:44 a.m.
NER Named-entity recognition batch_69f6383625cc8190aa223d8ef655743c completed May 2, 2026, 5:45 p.m.
PD Predicate disambiguation batch_69f63709e4848190b5cf322e06b23fb6 completed May 2, 2026, 5:40 p.m.
Created at: April 27, 2026, 3:16 a.m.