Triple

T26992467
Position Surface form Disambiguated ID Type / Status
Subject SAT E679891 entity
Predicate unsatisfiableIf P158226 FINISHED
Object no assignment makes the formula 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: no assignment makes the formula true | Statement: [SAT, unsatisfiableIf, no assignment makes the formula true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: unsatisfiableIf
Context triple: [SAT, unsatisfiableIf, no assignment makes the formula true]
  • A. unsatisfiableRangeCondition
    Indicates that a specified range condition cannot be met because its constraints are logically inconsistent or impossible to satisfy.
  • B. consistentWith
    Indicates that one entity does not contradict and is compatible or in agreement with another entity, condition, or set of constraints.
  • C. satisfies
    Indicates that one entity meets, fulfills, or complies with the requirements, conditions, or expectations specified by another.
  • D. notValidWhen chosen
    Indicates that a condition, state, or action is invalid or not applicable whenever a specified circumstance or condition holds.
  • E. rejectsAssumption
    Indicates that one entity explicitly refuses to accept or denies the validity of a proposed assumption made by another entity.
  • 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_69eeeb5138ac8190b3c273ddc659a54f completed April 27, 2026, 4:51 a.m.
NER Named-entity recognition batch_69f621915ee48190b508025afa2fb4fc completed May 2, 2026, 4:08 p.m.
PD Predicate disambiguation batch_69f61b3ee7b08190a0a1bc5d26b757aa completed May 2, 2026, 3:41 p.m.
Created at: April 27, 2026, 6:52 a.m.