Triple

T3820468
Position Surface form Disambiguated ID Type / Status
Subject HiSET E84358 entity
Predicate passingRequirement P22279 FINISHED
Object minimum score per subject 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: minimum score per subject | Statement: [HiSET, passingRequirement, minimum score per subject]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: passingRequirement
Context triple: [HiSET, passingRequirement, minimum score per subject]
  • A. evaluationRequirement
    Indicates that one entity imposes or specifies conditions under which another entity must be assessed, tested, or evaluated.
  • B. establishedRequirement
    Indicates that one entity has formally set or defined a requirement that another entity is expected to satisfy or comply with.
  • C. approvalRequirement
    Indicates that one entity must grant permission or authorization before another entity’s action, decision, or state change can proceed.
  • D. writtenExamRequiredBefore
    Indicates that completing a written exam is a prerequisite that must occur before another specified action or event.
  • E. requiresMinimumScore chosen
    Indicates that one entity can only be obtained, accessed, or considered valid if another entity’s score meets or exceeds a specified minimum threshold.
  • 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_69aed931f5908190be2c07af66d4df25 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef188b474819087680db42b04ecdd completed March 9, 2026, 4:12 p.m.
PD Predicate disambiguation batch_69aee74a2bc081909b237df8b1e27653 completed March 9, 2026, 3:29 p.m.
Created at: March 9, 2026, 3:17 p.m.