Triple

T5570514
Position Surface form Disambiguated ID Type / Status
Subject Fermat's Last Theorem E146188 entity
Predicate specialCaseFor P7025 FINISHED
Object Pythagorean triples when n = 2 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: Pythagorean triples when n = 2 | Statement: [Fermat's Last Theorem, specialCaseFor, Pythagorean triples when n = 2]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: specialCaseFor
Context triple: [Fermat's Last Theorem, specialCaseFor, Pythagorean triples when n = 2]
  • A. specialCaseOf chosen
    Indicates that one entity represents a more specific, exceptional, or restricted instance of the general situation, rule, or relationship expressed by another entity.
  • B. specialValue
    Indicates that an entity possesses a distinguished or exceptional value compared to typical or default values in the given context.
  • C. specialAppearance
    Indicates that an entity makes a notable or exceptional appearance distinct from its usual or regular presence.
  • D. hasSpecial
    Indicates that an entity possesses or is associated with a distinctive or exceptional attribute, status, or feature compared to others.
  • E. specialRuleDetail
    Indicates that there is additional, specific information or conditions associated with a special rule in the relationship or action.
  • 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_69c008ffed108190a084602227af6157 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020502a288190af37f9ebb88fccae completed March 22, 2026, 5:01 p.m.
PD Predicate disambiguation batch_69c01b12826c8190969a584d0f53aa44 completed March 22, 2026, 4:38 p.m.
Created at: March 22, 2026, 3:37 p.m.