Triple

T26440913
Position Surface form Disambiguated ID Type / Status
Subject Alexander polynomial E665082 entity
Predicate degreeRelatedTo P160757 FINISHED
Object twice the genus for fibered knots 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: twice the genus for fibered knots | Statement: [Alexander polynomial, degreeRelatedTo, twice the genus for fibered knots]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: degreeRelatedTo
Context triple: [Alexander polynomial, degreeRelatedTo, twice the genus for fibered knots]
  • A. academicDegree
    Indicates that an entity holds or has been awarded a specific academic degree.
  • B. degreeOutcome
    Indicates the academic qualification or result (such as a specific degree or classification) that is obtained as the outcome of a course of study or educational program.
  • C. educationType
    Indicates the specific category or level of education associated with an entity, such as formal, informal, primary, secondary, or higher education.
  • D. eligibleDegree
    Indicates that an academic degree qualifies its holder to be considered eligible for a particular program, position, or requirement.
  • E. degreeAbbreviation
    Indicates that one term is the abbreviated form of an academic degree represented by the other term.
  • 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_69ee883c851881909e2ab04efbb3c5fe completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f6121ae1a0819083492db2e6863175 completed May 2, 2026, 3:02 p.m.
PD Predicate disambiguation batch_69f602d5c8808190a1fdbebd6f0981e8 completed May 2, 2026, 1:57 p.m.
PDg Predicate description generation batch_69f604120e848190b516c29b781d19cc completed May 2, 2026, 2:02 p.m.
Created at: April 26, 2026, 11:58 p.m.