Triple

T6801194
Position Surface form Disambiguated ID Type / Status
Subject Poincaré recurrence theorem E156189 entity
Predicate conditionOnSet P61769 FINISHED
Object set A must have positive measure 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: set A must have positive measure | Statement: [Poincaré recurrence theorem, conditionOnSet, set A must have positive measure]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: conditionOnSet
Context triple: [Poincaré recurrence theorem, conditionOnSet, set A must have positive measure]
  • A. hasCondition
    Indicates that an entity possesses, experiences, or is affected by a particular condition or state.
  • B. triggerCondition
    Indicates the specific circumstances or state under which an associated event, action, or process is initiated or activated.
  • C. holdsUnderCondition chosen
    Indicates that one fact, rule, or relationship remains valid only when a specified condition or set of conditions is satisfied.
  • D. contingentOn
    Indicates that the occurrence, validity, or outcome of one event or condition depends on the fulfillment or existence of another.
  • E. conditionAfterClosure
    Indicates the state or circumstances that exist after a process, event, or entity has been formally closed or concluded.
  • 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_69c68826e6a48190a3d220b541e639de completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2e595188190a0bb4b595df3adb2 completed March 27, 2026, 6:56 p.m.
PD Predicate disambiguation batch_69c6d099bf08819089a9f9894d037e74 completed March 27, 2026, 6:46 p.m.
Created at: March 27, 2026, 2:16 p.m.