Triple

T5446387
Position Surface form Disambiguated ID Type / Status
Subject Carathéodory metric E122257 entity
Predicate nonnegativity P4230 FINISHED
Object true 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: true | Statement: [Carathéodory metric, nonnegativity, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: nonnegativity
Context triple: [Carathéodory metric, nonnegativity, true]
  • A. isNonNegative chosen
    Indicates that a value is greater than or equal to zero.
  • B. negativeFormulation
    Indicates that the associated statement, condition, or requirement is expressed in a negated or prohibitive form rather than an affirmative one.
  • C. nonConstructive
    Indicates that the relationship or action does not provide a direct, explicit method or example to realize or build the object, outcome, or proof it asserts exists.
  • D. negates
    Indicates that one entity denies, contradicts, or renders false the assertion, state, or effect expressed by another.
  • E. nonVolatile
    Indicates that the associated entity or state does not change, disappear, or lose its value when power is removed or over time.
  • 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_69bd4640f52c81909e653ec361f66d76 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd95be329c81908783420cf81b6af5 completed March 20, 2026, 6:45 p.m.
PD Predicate disambiguation batch_69bd919e8d18819098c4af6a015e5cc2 completed March 20, 2026, 6:27 p.m.
Created at: March 20, 2026, 2:07 p.m.