Triple

T5570657
Position Surface form Disambiguated ID Type / Status
Subject Fermat number E146191 entity
Predicate thirdTerm P62307 FINISHED
Object F_2 = 17 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: F_2 = 17 | Statement: [Fermat number, thirdTerm, F_2 = 17]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: thirdTerm
Context triple: [Fermat number, thirdTerm, F_2 = 17]
  • A. thirdWord
    Indicates that one entity is the third word in sequence within another entity (such as a text or phrase).
  • B. thirdElement chosen
    Indicates that one entity is the third element in an ordered sequence or tuple associated with another entity.
  • C. thirdTier
    Indicates that an entity occupies a third level or rank within a hierarchical structure or classification.
  • D. hasThirdTerm
    Indicates that an entity is associated with or includes a specific third term in an ordered sequence or grouping.
  • E. thirdQuarter
    Indicates that something occurs in, belongs to, or is associated with the third quarter of a defined time period (such as a fiscal or calendar year).
  • 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.