Triple

T9676095
Position Surface form Disambiguated ID Type / Status
Subject Mujuretuli E234155 entity
Predicate geographicalIndicationContext P3227 FINISHED
Object northwestern Georgia — 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: northwestern Georgia | Statement: [Mujuretuli, geographicalIndicationContext, northwestern Georgia]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: geographicalIndicationContext
Context triple: [Mujuretuli, geographicalIndicationContext, northwestern Georgia]
  • A. geographicContext chosen
    Indicates that one entity is situated within, associated with, or characterized by the geographic setting or region defined by another entity.
  • B. unescoDesignation
    Indicates that an entity has been granted a specific designation or status by UNESCO.
  • C. intangibleHeritageDomain
    Indicates that something belongs to, or is categorized within, a specific domain or category of intangible cultural heritage.
  • D. hasCulturalSignificanceFor
    Indicates that something holds particular cultural meaning, value, or importance for a specified group or community.
  • E. culturalDesignation
    Indicates that an entity has been assigned a particular cultural status, label, or classification within a specific cultural or heritage context.
  • 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_69ca848f55e48190b3f67252571c3d45 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9c6ed62081908863f2ea0e98961a completed April 1, 2026, 10:30 p.m.
PD Predicate disambiguation batch_69ccd5b5d40c8190850ad7a351445f32 completed April 1, 2026, 8:22 a.m.
Created at: March 30, 2026, 8:15 p.m.