Triple

T9843987
Position Surface form Disambiguated ID Type / Status
Subject Cauchy condensation test E239293 entity
Predicate conditionOnTerms P56247 FINISHED
Object terms must be nonnegative 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: terms must be nonnegative | Statement: [Cauchy condensation test, conditionOnTerms, terms must be nonnegative]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: conditionOnTerms
Context triple: [Cauchy condensation test, conditionOnTerms, terms must be nonnegative]
  • A. containsCondition
    Indicates that one entity includes, embodies, or is associated with a particular condition.
  • B. definesConditionsFor chosen
    Indicates that one entity specifies or establishes the rules, requirements, or circumstances under which another entity is valid, applicable, or operates.
  • C. holdsUnderCondition
    Indicates that one fact, rule, or relationship remains valid only when a specified condition or set of conditions is satisfied.
  • D. coreCondition
    Indicates that something serves as the primary or fundamental condition that must hold for a situation, process, or relationship to apply.
  • E. contingentOn
    Indicates that the occurrence, validity, or outcome of one event or condition depends on the fulfillment or existence of another.
  • 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_69ca84e3f0c48190ada72a65ebd50efd completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb35dc29c819080203be5b904dc9d completed April 2, 2026, 12:07 a.m.
PD Predicate disambiguation batch_69cd03e57cac8190914bb5ae608a6e0e completed April 1, 2026, 11:39 a.m.
Created at: March 30, 2026, 8:33 p.m.