Triple

T10946691
Position Surface form Disambiguated ID Type / Status
Subject Atiyah–Bott fixed-point theorem E258614 entity
Predicate usesConcept P531 FINISHED
Object Todd class E391905 NE 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: Todd class | Statement: [Atiyah–Bott fixed-point theorem, usesConcept, Todd class]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Todd class
Context triple: [Atiyah–Bott fixed-point theorem, usesConcept, Todd class]
  • A. Todd class chosen
    The Todd class is a characteristic class in complex geometry and topology that plays a central role in index theorems by encoding curvature information of complex vector bundles.
  • B. Y class
    Y class is the standard economy fare class used by airlines, typically representing full-fare economy tickets with the least restrictions on changes and refunds.
  • C. Classe
    Classe is a historic coastal area near Ravenna in Italy, renowned for its early Christian monuments and archaeological remains.
  • D. Klas
    Klas is a Scandinavian given name, commonly used as a variant of Nicholas.
  • E. Klass
    Klass is a surname most notably associated with Philip J. Klass, an American journalist and prominent UFO skeptic.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770eaaea08190b06e508600d8a305 completed April 9, 2026, 9:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23c3c885081908edcece772b2e759 completed April 17, 2026, 1:57 p.m.
Created at: April 8, 2026, 9:23 p.m.