Triple

T32258275
Position Surface form Disambiguated ID Type / Status
Subject OBDD E824078 entity
Predicate canonicalUnderCondition P174450 FINISHED
Object fixed variable ordering 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: fixed variable ordering | Statement: [OBDD, canonicalUnderCondition, fixed variable ordering]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canonicalUnderCondition
Context triple: [OBDD, canonicalUnderCondition, fixed variable ordering]
  • A. canCondition
    Indicates that one entity has the capability or potential to impose, apply, or bring about a particular condition on another entity or situation.
  • B. holdsUnderCondition
    Indicates that one fact, rule, or relationship remains valid only when a specified condition or set of conditions is satisfied.
  • C. coreCondition
    Indicates that something serves as the primary or fundamental condition that must hold for a situation, process, or relationship to apply.
  • D. supportsCondition
    Indicates that one entity helps maintain, enable, or is compatible with a particular condition or state in another entity.
  • E. underRule
    Indicates that one entity is governed, controlled, or subject to the authority, rules, or dominion of another entity.
  • 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_69f3490db0748190bfef6e50c95d39d3 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6c2451e108190a73ccfdc99203d55 completed May 3, 2026, 3:34 a.m.
PD Predicate disambiguation batch_69f6bd25bed08190befcabd3a41ffadf completed May 3, 2026, 3:12 a.m.
PDg Predicate description generation batch_69f6c1b666188190ac43c3011a7df048 completed May 3, 2026, 3:32 a.m.
Created at: May 1, 2026, 12:41 a.m.