Triple

T1382701
Position Surface form Disambiguated ID Type / Status
Subject Gauss–Markov theorem E29373 entity
Predicate holdsUnder P27209 FINISHED
Object fixed design matrix assumption 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: fixed design matrix assumption | Statement: [Gauss–Markov theorem, holdsUnder, fixed design matrix assumption]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: holdsUnder
Context triple: [Gauss–Markov theorem, holdsUnder, fixed design matrix assumption]
  • A. holdsFor
    Indicates that a particular relationship or condition remains true over a specified interval or duration of time.
  • B. holdsIn
    Indicates that a relationship, condition, or event is valid or occurs within a specified time interval or temporal context.
  • C. heldAs
    Indicates that one entity is kept, maintained, or regarded in a particular state, role, or condition by another entity.
  • D. heldThat
    Indicates that an entity (often a person or authority) maintained, asserted, or concluded that a particular proposition or judgment is true.
  • E. held
    Indicates that one entity physically grasped, carried, or kept another entity in its possession or control.
  • 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.