Triple

T6611125
Position Surface form Disambiguated ID Type / Status
Subject FA Women's Cup E149238 entity
Predicate goesToExtraTime P12107 FINISHED
Object yes (in later rounds, depending on rules) 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: yes (in later rounds, depending on rules) | Statement: [FA Women's Cup, goesToExtraTime, yes (in later rounds, depending on rules)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: goesToExtraTime
Context triple: [FA Women's Cup, goesToExtraTime, yes (in later rounds, depending on rules)]
  • A. usesExtraTime
    Indicates that an entity makes use of additional time beyond an initial or standard allotted period to perform or complete an action.
  • B. usesExtraTimeInLaterRounds chosen
    Indicates that an entity allocates or consumes additional time during later stages or rounds of an activity, process, or event.
  • C. finalAfterExtraTime
    Indicates that the final outcome or result is determined after an additional period of extra time beyond the regular duration.
  • D. hasExtraordinaryExercise
    Indicates that an entity engages in an unusually intense, prolonged, or otherwise exceptional level of physical exercise beyond typical norms.
  • E. allowsOvertime
    Indicates that one entity permits another entity to work beyond standard or scheduled time limits.
  • 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_69c687ebc680819094caf71faba2efe2 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6cf3796d08190a26e988386089447 completed March 27, 2026, 6:40 p.m.
PD Predicate disambiguation batch_69c6acfed25481909cac74c84a9fe088 completed March 27, 2026, 4:14 p.m.
Created at: March 27, 2026, 1:57 p.m.