Triple

T38226699
Position Surface form Disambiguated ID Type / Status
Subject WO-2 E1012163 entity
Predicate hasNATOCodingScheme P182868 FINISHED
Object OR 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: OR | Statement: [WO-2, hasNATOCodingScheme, OR]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNATOCodingScheme
Context triple: [WO-2, hasNATOCodingScheme, OR]
  • A. hasCodeScheme
    Indicates that something is associated with or organized according to a particular coding or classification scheme.
  • B. hasFeatureCodeSystem chosen
    Indicates that a feature is associated with, or defined according to, a particular code system or coding scheme.
  • C. hasStructureCode
    Indicates that an entity is associated with a specific structural identifier or code that defines its organization or configuration.
  • D. hasNOCCode
    Indicates that an entity is associated with a specific National Occupational Classification (NOC) code that categorizes its occupation or job type.
  • E. hasStandardCode
    Indicates that an entity is associated with a recognized standard code that formally identifies or classifies it.
  • 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_69f76dd25e0c81909f2abd0803e5e3ee completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69ffc704e1e88190884928a6a5c55a87 completed May 9, 2026, 11:45 p.m.
PD Predicate disambiguation batch_69ffc6b483d881908ad872e25fa6abc5 completed May 9, 2026, 11:43 p.m.
Created at: May 3, 2026, 4:30 p.m.