Triple

T135453
Position Surface form Disambiguated ID Type / Status
Subject Romanian language E2736 entity
Predicate hasStandardPronunciationBasedOn P5210 FINISHED
Object Bucharest dialect 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: Bucharest dialect | Statement: [Romanian language, hasStandardPronunciationBasedOn, Bucharest dialect]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasStandardPronunciationBasedOn
Context triple: [Romanian language, hasStandardPronunciationBasedOn, Bucharest dialect]
  • A. hasOfficialOrthography
    Indicates that an entity has a formally recognized and standardized system for writing its language or name.
  • B. isLanguageOf
    Indicates that a particular language is used as the official or primary language associated with a given entity (such as a person, document, or region).
  • C. isWidelySpokenIn
    Indicates that a language is spoken by a large portion of the population across many regions or communities within a specified area.
  • D. hasLanguageOfOrigin
    Indicates that one entity has its origin or source in the language specified by another entity.
  • E. primaryLanguageOf
    Indicates that a specified language is the main or official language used by a particular entity (such as a person, organization, or region).
  • F. None of above. chosen

Provenance (4 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_69a2520c0f3481908b0ed054a2fca8d0 completed Feb. 28, 2026, 2:25 a.m.
NER Named-entity recognition batch_69a257a3ad908190b6a8652f09ae0cbb completed Feb. 28, 2026, 2:49 a.m.
PD Predicate disambiguation batch_69a25651b9048190a6277b7fec98c1ea completed Feb. 28, 2026, 2:43 a.m.
PDg Predicate description generation batch_69a256c72f6c81909b619b90d829d86e completed Feb. 28, 2026, 2:45 a.m.
Created at: Feb. 28, 2026, 2:30 a.m.