Triple

T1382491
Position Surface form Disambiguated ID Type / Status
Subject Gaussian integers E29369 entity
Predicate normIs P27188 FINISHED
Object multiplicative 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: multiplicative | Statement: [Gaussian integers, normIs, multiplicative]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: normIs
Context triple: [Gaussian integers, normIs, multiplicative]
  • A. normType
    Indicates the specific category or classification of a norm that governs or constrains an entity or situation.
  • B. hasNorm
    Indicates that an entity is associated with, governed by, or characterized through a particular norm, rule, or standard.
  • C. normativeFor
    Indicates that something establishes, prescribes, or encodes the norms, standards, or rules that should govern another thing’s behavior or state.
  • D. conditionForNorm
    Indicates that a certain condition or set of conditions must hold for a particular norm, rule, or obligation to be applicable or in force.
  • E. normativeFormUntil
    Indicates that a particular normative form or standard applies to something only up to a specified point in time, after which it is no longer in effect.
  • 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_69a498d883a48190bfdca525296ef7ee completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c3361bf08190b3f6bbf82e17685b completed March 1, 2026, 10:52 p.m.
PD Predicate disambiguation batch_69a4befe343c81909f758440a531b5be completed March 1, 2026, 10:34 p.m.
PDg Predicate description generation batch_69a4c0335f7081908d50046ced4cdee0 completed March 1, 2026, 10:39 p.m.
Created at: March 1, 2026, 7:59 p.m.