Triple

T7338236
Position Surface form Disambiguated ID Type / Status
Subject Co1 E169183 entity
Predicate minimalFaithfulPermutationDegree P77138 FINISHED
Object 98280 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: 98280 | Statement: [Co1, minimalFaithfulPermutationDegree, 98280]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: minimalFaithfulPermutationDegree
Context triple: [Co1, minimalFaithfulPermutationDegree, 98280]
  • A. automorphismGroupOrder
    Indicates the size of the group of all structure-preserving bijections (automorphisms) of an object under composition.
  • B. isMaximalSymmetryGroupOf
    Indicates that a group represents the largest possible symmetry group for a given object or structure, such that no strictly larger symmetry group of that object exists containing it.
  • C. hasSymmetryGroupOrder
    Indicates that an entity possesses a symmetry group whose total number of distinct symmetry operations equals the given order.
  • D. degreeOverQ
    Indicates that one entity has an academic degree or qualification in a particular field, subject, or from a specific institution.
  • E. dimensionAsVectorSpaceOverℚ
    Indicates that the dimension of a given vector space is being considered specifically as a vector space over the field of rational numbers ℚ.
  • 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_69c68a57710481909f0c1f3c6ebdb6f2 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f347f25081908e6086d4073295f5 completed March 27, 2026, 9:14 p.m.
PD Predicate disambiguation batch_69c6f028fd748190b2ea5c3081958a42 completed March 27, 2026, 9:01 p.m.
PDg Predicate description generation batch_69c6f3463d0481908aed9ed43a8ac6a8 completed March 27, 2026, 9:14 p.m.
Created at: March 27, 2026, 3:04 p.m.