Triple

T20558680
Position Surface form Disambiguated ID Type / Status
Subject Kripke–Kleene semantics in logic programming E504786 entity
Predicate treatsNegationAs P121881 FINISHED
Object negation-as-failure under three-valued interpretation 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: negation-as-failure under three-valued interpretation | Statement: [Kripke–Kleene semantics in logic programming, treatsNegationAs, negation-as-failure under three-valued interpretation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: treatsNegationAs
Context triple: [Kripke–Kleene semantics in logic programming, treatsNegationAs, negation-as-failure under three-valued interpretation]
  • A. treatsSyllogismAs
    Indicates that one entity regards, interprets, or handles something in the manner or role of a syllogism.
  • B. negates
    Indicates that one entity denies, contradicts, or renders false the assertion, state, or effect expressed by another.
  • C. treatsRightAs
    Indicates that one entity provides medical or therapeutic treatment to another entity who is identified as the right-hand participant in the relationship.
  • D. treatsCaseAs chosen
    Indicates that one entity handles, regards, or processes another entity specifically as a case or instance within a particular context or framework.
  • E. treatsEveryNLPTasAs
    Indicates that an entity consistently regards every NLP task as equivalent to, or solvable by, a particular method, perspective, or treatment.
  • 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_69e0b4b6587c8190aee63dc7cff244ea completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a5e178648190910795bae5422e50 completed April 20, 2026, 10:17 p.m.
PD Predicate disambiguation batch_69e59ff0116c8190a163ff28ed01430a completed April 20, 2026, 3:39 a.m.
Created at: April 16, 2026, 11:38 a.m.