Triple

T27133713
Position Surface form Disambiguated ID Type / Status
Subject Souslin operation E681625 entity
Predicate notablyGenerates P200380 FINISHED
Object analytic sets 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: analytic sets | Statement: [Souslin operation, notablyGenerates, analytic sets]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notablyGenerates
Context triple: [Souslin operation, notablyGenerates, analytic sets]
  • A. notableFor
    Indicates that an entity is especially recognized or distinguished for a particular quality, achievement, characteristic, or role.
  • B. notablyBorneBy
    Indicates that something is especially or prominently carried, supported, or borne by a particular entity, in a way that is distinctive or noteworthy.
  • C. notableDuring
    Indicates that something was especially prominent, active, or significant during a particular time period or event.
  • D. notableRapid
    Indicates a relationship where something is recognized as a particularly fast or unusually rapid instance or occurrence.
  • E. notableSingle
    Indicates that the subject is particularly recognized or distinguished for one specific, individual instance (such as a single work, event, or achievement).
  • 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_69eefacbcc2081909ebf00daa23f1981 completed April 27, 2026, 5:57 a.m.
NER Named-entity recognition batch_69ff878f41888190bcb3bc41ad26081a completed May 9, 2026, 7:14 p.m.
PD Predicate disambiguation batch_69ff854082d88190aad3bfedf05e849f completed May 9, 2026, 7:04 p.m.
PDg Predicate description generation batch_69ff878e8334819097e3c4bb5ca6ffa5 completed May 9, 2026, 7:14 p.m.
Created at: April 27, 2026, 9:05 a.m.