Triple

T26280020
Position Surface form Disambiguated ID Type / Status
Subject Uzgen E660676 entity
Predicate modernLanguageMinority P168055 FINISHED
Object Uzbek NE NERFINISHED

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: Uzbek | Statement: [Uzgen, modernLanguageMinority, Uzbek]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: modernLanguageMinority
Context triple: [Uzgen, modernLanguageMinority, Uzbek]
  • A. linguisticMinorityIn
    Indicates that a group or population constitutes a linguistic minority within a specified geographic or political region.
  • B. historicalMinorityLanguage
    Indicates that a language has historically been used by a minority group within a given region or population, even if it may no longer be widely spoken there.
  • C. minorityLanguagePolicy
    Indicates a policy or set of rules governing the recognition, protection, and use of languages spoken by minority groups within a larger political or social context.
  • D. minorityLanguageArea
    Indicates that an area is one in which a minority language is traditionally spoken or officially recognized as having a special status.
  • E. areMinorityLanguagesIn
    Indicates that the subject languages are minority (non-dominant) languages within the specified region, country, or larger linguistic context.
  • 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_69ee812960d081909cff6085cc9fa3a6 completed April 26, 2026, 9:18 p.m.
NER Named-entity recognition batch_69f673633d288190b52ceb9f8a057c44 completed May 2, 2026, 9:57 p.m.
PD Predicate disambiguation batch_69f66ec3d3d48190ab2f2b71939e572e completed May 2, 2026, 9:38 p.m.
PDg Predicate description generation batch_69f67256d064819094be04fc1bbbc635 completed May 2, 2026, 9:53 p.m.
Created at: April 26, 2026, 9:59 p.m.