Triple

T16884150
Position Surface form Disambiguated ID Type / Status
Subject Montenegro and Serbia E421493 entity
Predicate languagePolicyDivergence P33151 FINISHED
Object Montenegro recognizes Montenegrin as separate standard 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: Montenegro recognizes Montenegrin as separate standard | Statement: [Montenegro and Serbia, languagePolicyDivergence, Montenegro recognizes Montenegrin as separate standard]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: languagePolicyDivergence
Context triple: [Montenegro and Serbia, languagePolicyDivergence, Montenegro recognizes Montenegrin as separate standard]
  • A. languagePolicyAspect
    Indicates an aspect or component of a broader language policy, such as its goals, rules, or implementation measures.
  • B. languagePolicyType
    Indicates the specific category or type of language policy that governs how languages are used, managed, or regulated in a given context.
  • C. languagePolicyIssue chosen
    Indicates that there is a problem, conflict, or concern related to rules or practices governing language use.
  • D. languagePolicyPosition
    Indicates a stance or viewpoint an entity holds regarding rules, regulations, or practices governing language use.
  • E. shareLanguagePolicyCooperation
    Indicates that two or more entities cooperate or coordinate with each other specifically on matters related to language policy.
  • 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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3bbbf0cec819084216807601afad1 completed April 18, 2026, 5:13 p.m.
PD Predicate disambiguation batch_69e32b90ec3c819099c51bb7baf2984c completed April 18, 2026, 6:58 a.m.
Created at: April 10, 2026, 5:29 a.m.