Triple

T1483966
Position Surface form Disambiguated ID Type / Status
Subject Look-and-say sequence E29421 entity
Predicate hasCombinatorialStructure P841 FINISHED
Object decomposes into irreducible subsequences called atoms 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: decomposes into irreducible subsequences called atoms | Statement: [Look-and-say sequence, hasCombinatorialStructure, decomposes into irreducible subsequences called atoms]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCombinatorialStructure
Context triple: [Look-and-say sequence, hasCombinatorialStructure, decomposes into irreducible subsequences called atoms]
  • A. hasComb
    Indicates that an entity possesses or is equipped with a comb.
  • B. hasStructureType chosen
    Indicates that an entity possesses or is classified by a specific structural type or configuration.
  • C. isMaximallySymmetric
    Indicates that the subject exhibits the highest possible degree of symmetry allowed by the relevant structure, constraints, or context.
  • D. isNonAbelian
    Indicates that the operation or structure in question does not satisfy commutativity, so the order of applying the operation matters.
  • E. usesSymmetryGroup
    Indicates that one entity employs or is based on a particular symmetry group in its structure, behavior, or formulation.
  • 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_69a498da82e08190ba833330d05f380f completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c679714c8190ac53630fb49e19c5 completed March 1, 2026, 11:06 p.m.
PD Predicate disambiguation batch_69a4c486eacc81909c272f9bdf50a7c3 completed March 1, 2026, 10:58 p.m.
Created at: March 1, 2026, 8:12 p.m.