Triple

T1057165
Position Surface form Disambiguated ID Type / Status
Subject local existence and uniqueness theorem E22820 entity
Predicate weakerThan P24324 FINISHED
Object global existence and uniqueness theorems 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: global existence and uniqueness theorems | Statement: [local existence and uniqueness theorem, weakerThan, global existence and uniqueness theorems]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: weakerThan
Context triple: [local existence and uniqueness theorem, weakerThan, global existence and uniqueness theorems]
  • A. isStrongerThan
    Indicates that one entity possesses greater physical power, force, or effectiveness than another entity.
  • B. hasLessFinancialPowersThan
    Indicates that one entity’s authority or capacity to make financial decisions or control financial resources is lower or more limited than that of another entity.
  • C. weakenedDuring
    Indicates that an entity’s strength, intensity, or effectiveness is reduced over the course of a specified time period or event.
  • D. slowerThan
    Indicates that one entity moves or operates at a lower speed than another entity.
  • E. smallerThan
    Indicates that one entity has a strictly lesser size, dimension, or magnitude than another entity.
  • 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_69a493dada0481909c43649f9843ea91 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4ba6e35ac8190802341c31bda0e3b completed March 1, 2026, 10:15 p.m.
PD Predicate disambiguation batch_69a4b7340a048190807363f19d17a58f completed March 1, 2026, 10:01 p.m.
PDg Predicate description generation batch_69a4ba6d44c08190bf0ab28661ed8ca0 completed March 1, 2026, 10:15 p.m.
Created at: March 1, 2026, 7:42 p.m.