Triple

T32186001
Position Surface form Disambiguated ID Type / Status
Subject OR-5 E822109 entity
Predicate usedForComparisonOf P172800 FINISHED
Object military ranks between NATO countries 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: military ranks between NATO countries | Statement: [OR-5, usedForComparisonOf, military ranks between NATO countries]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedForComparisonOf
Context triple: [OR-5, usedForComparisonOf, military ranks between NATO countries]
  • A. comparisonUses chosen
    Indicates that one entity employs another entity as a basis or tool for making a comparison.
  • B. isComparedTo
    Indicates that one entity is evaluated or measured in relation to another to highlight similarities, differences, or relative qualities.
  • C. usedFor
    Indicates that one entity serves a purpose, function, or role in accomplishing, enabling, or supporting another entity or activity.
  • D. enablesComparison
    Indicates that one entity provides the means or conditions necessary to compare two or more entities with each other.
  • E. sometimesComparedTo
    Indicates that one entity is occasionally likened or contrasted to another, but not consistently or universally.
  • 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_69f3490819cc81909bae1f8ce99423c5 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f7c29e1b848190b945c6c6120a5330 completed May 3, 2026, 9:48 p.m.
PD Predicate disambiguation batch_69f7c1b6e7a881908deb96bedb2713f4 completed May 3, 2026, 9:44 p.m.
Created at: May 1, 2026, 12:35 a.m.