Triple

T24678982
Position Surface form Disambiguated ID Type / Status
Subject PDO E611069 entity
Predicate canBeRecognizedIn P37237 FINISHED
Object third countries via bilateral agreements 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: third countries via bilateral agreements | Statement: [PDO, canBeRecognizedIn, third countries via bilateral agreements]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canBeRecognizedIn
Context triple: [PDO, canBeRecognizedIn, third countries via bilateral agreements]
  • A. canRecognize
    Indicates that one entity has the ability to identify or distinguish another entity based on its features or characteristics.
  • B. areRecognizedBy chosen
    Indicates that one entity acknowledges, identifies, or accepts another entity as valid, known, or legitimate.
  • C. recognizableFor
    Indicates that one entity is known or identifiable because of a particular characteristic, feature, or association with another entity.
  • D. recognizedAs
    Indicates that one entity is acknowledged or accepted as having the identity, role, status, or classification of another entity.
  • E. recognizedFor
    Indicates that one entity is acknowledged, credited, or honored for a particular achievement, quality, contribution, or work associated with another entity.
  • 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_69e2c4d5c2dc8190ac857dea25ec6ce9 completed April 17, 2026, 11:40 p.m.
NER Named-entity recognition batch_69f41011d8048190be70329ba0bfb7c7 completed May 1, 2026, 2:29 a.m.
PD Predicate disambiguation batch_69f40ed9d47881909fcfc0d04e8d074a completed May 1, 2026, 2:24 a.m.
Created at: April 18, 2026, 3:08 a.m.