Triple

T20878532
Position Surface form Disambiguated ID Type / Status
Subject Fizzy Lifting Drinks E514083 entity
Predicate counterEffectMechanism P109536 FINISHED
Object burping releases gas and lowers the drinker 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: burping releases gas and lowers the drinker | Statement: [Fizzy Lifting Drinks, counterEffectMechanism, burping releases gas and lowers the drinker]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: counterEffectMechanism
Context triple: [Fizzy Lifting Drinks, counterEffectMechanism, burping releases gas and lowers the drinker]
  • A. counterMeasureAgainst chosen
    Indicates a relationship where one entity serves as a response or defensive action intended to prevent, mitigate, or neutralize the effects of another entity.
  • B. counterplay
    Indicates a responsive action or strategy taken to oppose, mitigate, or neutralize another party’s move or advantage.
  • C. contrastMechanism
    Indicates a relationship where one mechanism is highlighted or explained by comparing it against a different, opposing, or alternative mechanism.
  • D. attackEffect
    Indicates that one entity’s attack produces a specific effect or consequence on another entity.
  • E. countermeasureCategory
    Indicates the classification type or category to which a given countermeasure belongs.
  • 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_69e0b4f733f081908a401c0b7beb0b9f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c6775f108190a79cd5e8c31cecf6 completed April 21, 2026, 12:36 a.m.
PD Predicate disambiguation batch_69e5c9a8dc148190b33ff51894e2a8f9 completed April 20, 2026, 6:37 a.m.
Created at: April 16, 2026, 12:45 p.m.