Triple

T25433543
Position Surface form Disambiguated ID Type / Status
Subject Kayles E637318 entity
Predicate hasNoChanceMoves P179770 FINISHED
Object true 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: true | Statement: [Kayles, hasNoChanceMoves, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNoChanceMoves
Context triple: [Kayles, hasNoChanceMoves, true]
  • A. hasFinishingMove
    Indicates that one entity possesses or is associated with a specific, often decisive or signature, final action or move used to conclude an encounter or event.
  • B. canBeWonWithout
    Indicates that a goal, contest, or outcome can be successfully achieved without the involvement, use, or occurrence of a specified entity or condition.
  • C. hasNoTakeArea
    Indicates that an entity is associated with an area where taking or extracting resources is not allowed.
  • D. hasOptimalPlayProperty
    Indicates that the subject possesses a characteristic or condition under which its behavior, strategy, or outcome is considered optimally effective according to defined criteria.
  • E. hasPotential
    Indicates that an entity possesses the capacity or possibility to develop, achieve, or exhibit a particular state, quality, or outcome in the future.
  • F. None of above. chosen

Provenance (4 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_69e75db6c97081908178383fa632b193 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f727afd5d88190ad48735cd1b32787 completed May 3, 2026, 10:47 a.m.
PD Predicate disambiguation batch_69f72737c42c8190a3f781a5e98868ff completed May 3, 2026, 10:45 a.m.
PDg Predicate description generation batch_69f727ad9ff88190ba8069dd48b2e98f completed May 3, 2026, 10:47 a.m.
Created at: April 21, 2026, 1:59 p.m.