Triple

T13551403
Position Surface form Disambiguated ID Type / Status
Subject Polish SuperCup E323652 entity
Predicate hasExtraTimeUsually P80515 FINISHED
Object no 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: no | Statement: [Polish SuperCup, hasExtraTimeUsually, no]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasExtraTimeUsually
Context triple: [Polish SuperCup, hasExtraTimeUsually, no]
  • 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
    Indicates that an entity allocates or consumes additional time during later stages or rounds of an activity, process, or event.
  • C. extraTimePolicy chosen
    Indicates a policy that defines when and how additional time is granted beyond a standard or scheduled duration.
  • D. finalAfterExtraTime
    Indicates that the final outcome or result is determined after an additional period of extra time beyond the regular duration.
  • E. usesOvertime
    Indicates that one entity makes use of another entity repeatedly or continuously over an extended period of time.
  • 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbbb9ee3f081909056dc1a92c40b7a completed April 12, 2026, 3:34 p.m.
PD Predicate disambiguation batch_69dbae13bec4819084c1770638c00ed9 completed April 12, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:46 p.m.