Triple

T1382499
Position Surface form Disambiguated ID Type / Status
Subject Gaussian integers E29369 entity
Predicate hasPrimeElement P11236 FINISHED
Object 1+i 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: 1+i | Statement: [Gaussian integers, hasPrimeElement, 1+i]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPrimeElement
Context triple: [Gaussian integers, hasPrimeElement, 1+i]
  • A. usesElement
    Indicates that one entity makes use of, incorporates, or depends on a specified element in its structure, function, or behavior.
  • B. hasKeyElement
    Indicates that one entity contains or depends on another entity that serves as a primary or essential component.
  • C. includesElement chosen
    Indicates that one collection, set, or structure contains a specified element as a member or component.
  • D. hasParity
    Indicates that two entities share the same parity property (e.g., both even or both odd) with respect to a specified attribute or value.
  • E. hasProtonNumber
    Indicates that an entity (typically a chemical element or atom) possesses a specific number of protons in its nucleus.
  • 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_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.
Created at: March 1, 2026, 7:59 p.m.