Triple

T26520826
Position Surface form Disambiguated ID Type / Status
Subject United States clinical reference laboratory network E669944 entity
Predicate testingComplexityLevel P61901 FINISHED
Object high complexity 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: high complexity | Statement: [United States clinical reference laboratory network, testingComplexityLevel, high complexity]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: testingComplexityLevel
Context triple: [United States clinical reference laboratory network, testingComplexityLevel, high complexity]
  • A. hasComplexity
    Indicates that something possesses a certain level or type of complexity, often in terms of structure, behavior, or difficulty.
  • B. testComplexityCategories chosen
    Indicates the classification of tests according to their level or type of complexity.
  • C. controlsComplexityBy
    Indicates that one entity manages, limits, or regulates the complexity of another entity, process, or system.
  • D. testingLevel
    Indicates the degree or intensity to which something is examined, evaluated, or tested.
  • E. hasReasoningComplexity
    Indicates that an action, process, or decision involves a certain level or type of cognitive or logical complexity in its reasoning.
  • 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_69eeb31b6dcc8190b30632dc3928a0c0 completed April 27, 2026, 12:51 a.m.
NER Named-entity recognition batch_69f613c22a48819099858ab078b5562f completed May 2, 2026, 3:09 p.m.
PD Predicate disambiguation batch_69f60b89cc048190a9feb24466006be0 completed May 2, 2026, 2:34 p.m.
Created at: April 27, 2026, 1:27 a.m.