Triple

T25433494
Position Surface form Disambiguated ID Type / Status
Subject Domineering E637317 entity
Predicate hasChanceElements P76195 FINISHED
Object none 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: none | Statement: [Domineering, hasChanceElements, none]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasChanceElements
Context triple: [Domineering, hasChanceElements, none]
  • A. chanceElement chosen
    Indicates that the relationship or outcome involves randomness or probabilistic chance rather than being deterministic.
  • B. hasPotential
    Indicates that an entity possesses the capacity or possibility to develop, achieve, or exhibit a particular state, quality, or outcome in the future.
  • C. hasFailureProbability
    Indicates that an entity is associated with a likelihood or chance that it will fail within a given context or conditions.
  • D. hasSurvivalElements
    Indicates that something includes features or conditions related to survival, such as resource management, threat avoidance, or sustaining life over time.
  • E. hasAlternativeElements
    Indicates that one entity includes or is associated with elements that can serve as substitutes or options in place of other elements.
  • 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_69e75db6c97081908178383fa632b193 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f63fd6c68481908c542aa03e297b9c completed May 2, 2026, 6:17 p.m.
PD Predicate disambiguation batch_69f63c6456608190b94e7c2e2c2a4824 completed May 2, 2026, 6:03 p.m.
Created at: April 21, 2026, 1:59 p.m.