Triple

T30267796
Position Surface form Disambiguated ID Type / Status
Subject FA Cup 1963–64 E769700 entity
Predicate finalScoreForRunnerUp P38172 FINISHED
Object 2 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: 2 | Statement: [FA Cup 1963–64, finalScoreForRunnerUp, 2]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: finalScoreForRunnerUp
Context triple: [FA Cup 1963–64, finalScoreForRunnerUp, 2]
  • A. runnerUpScore chosen
    Indicates the score achieved by the participant or entity that finished in second place in a competition or ranking.
  • B. finalSecondLegScore
    Indicates the score achieved in the second leg of a two-leg competition or matchup once that leg is completed.
  • C. secondRoundRunnerUp
    Indicates that an entity finished in third place (runner-up to the runner-up) in the second round of a competition or selection process.
  • D. runnersUpPoints
    Indicates the number of points awarded to an entity for finishing as a runner-up in a competition or ranking.
  • E. secondRunnerUp
    Indicates that one entity finished in third place in a competition or ranking relative to the others.
  • 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_69f224856d9881908c7f0dd64f059672 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69fd35d108908190b79b1e8e6bbd62aa completed May 8, 2026, 1:01 a.m.
PD Predicate disambiguation batch_69fd34cb46108190b43c3b7f67ec4cd4 completed May 8, 2026, 12:56 a.m.
Created at: April 29, 2026, 7:43 p.m.