Triple

T316266
Position Surface form Disambiguated ID Type / Status
Subject Georgian traditional Qvevri wine-making E7712 entity
Predicate preservationMeasures P4776 FINISHED
Object state-supported safeguarding programs 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: state-supported safeguarding programs | Statement: [Georgian traditional Qvevri wine-making, preservationMeasures, state-supported safeguarding programs]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: preservationMeasures
Context triple: [Georgian traditional Qvevri wine-making, preservationMeasures, state-supported safeguarding programs]
  • A. stateOfPreservation
    Indicates the condition or degree to which something has been maintained, conserved, or kept intact over time.
  • B. preservedAt
    Indicates that something is kept, maintained, or conserved in a particular place or context.
  • C. conservationValue
    Indicates the degree to which something is considered important or valuable for conservation or protection of natural or cultural resources.
  • D. protects
    Indicates taking action to keep someone or something safe from harm, danger, or negative effects.
  • E. heritageManagement chosen
    Indicates the management, preservation, and regulation of cultural or natural heritage resources by responsible entities.
  • 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_69a2e7e7af7881908890039d6be4e9b8 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ea6462148190825acc57f6d2adaf completed Feb. 28, 2026, 1:15 p.m.
PD Predicate disambiguation batch_69a2e943f12c8190883854aeed974260 completed Feb. 28, 2026, 1:10 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.