Triple

T17587939
Position Surface form Disambiguated ID Type / Status
Subject Sample Selection Bias as a Specification Error E428372 entity
Predicate estimationTechnique P51617 FINISHED
Object two-step least squares-type procedure 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: two-step least squares-type procedure | Statement: [Sample Selection Bias as a Specification Error, estimationTechnique, two-step least squares-type procedure]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: estimationTechnique
Context triple: [Sample Selection Bias as a Specification Error, estimationTechnique, two-step least squares-type procedure]
  • A. estimatedUsing
    Indicates that one entity’s value, state, or outcome is derived by applying an estimation method, model, or procedure based on another entity.
  • B. separatesEstimationOf
    Indicates that one entity distinguishes or isolates the estimation or assessment of another entity from other factors or components.
  • C. approximationType
    Indicates the specific method or scheme used to approximate a value, function, or relationship in a given context.
  • D. areEstimatedIn
    Indicates that a value or quantity is approximated or inferred within a specified context, framework, or unit.
  • E. featuresTechnique chosen
    Indicates that something incorporates or makes use of a particular technique as part of its content or execution.
  • 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e469e41bf08190963848f1597b6e9f completed April 19, 2026, 5:36 a.m.
PD Predicate disambiguation batch_69e3b4fff0348190b899a32da537eaca completed April 18, 2026, 4:44 p.m.
Created at: April 10, 2026, 5:51 a.m.