Triple

T12915213
Position Surface form Disambiguated ID Type / Status
Subject Galois group E308961 entity
Predicate hasSubconcept P21666 FINISHED
Object absolute Galois group 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: absolute Galois group | Statement: [Galois group, hasSubconcept, absolute Galois group]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSubconcept
Context triple: [Galois group, hasSubconcept, absolute Galois group]
  • A. hasSubConcept chosen
    Indicates that one concept is a more specific, subordinate, or narrower idea within the scope of another, more general concept.
  • B. hasConcept
    Indicates that an entity includes, embodies, or is associated with a particular concept.
  • C. hasSubrole
    Indicates that one role functions as a more specific, subordinate, or specialized version of another broader role.
  • D. hasSubdiscipline
    Indicates that one discipline includes another, more specialized field of study as a subordinate branch.
  • E. hasSubcriterion
    Indicates that a criterion includes another, more specific criterion as a subordinate part of its evaluation structure.
  • 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_69d7bdf92b588190acdf2a2291ac4590 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d971a0d6508190bca9668e9e06abfe completed April 10, 2026, 9:54 p.m.
PD Predicate disambiguation batch_69d96fa9b7708190a9e9fa30f59ff580 completed April 10, 2026, 9:46 p.m.
Created at: April 9, 2026, 5:41 p.m.