Triple

T2048712
Position Surface form Disambiguated ID Type / Status
Subject Côte Chalonnaise E45512 entity
Predicate hasQualityLevel P2393 FINISHED
Object village-level appellations 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: village-level appellations | Statement: [Côte Chalonnaise, hasQualityLevel, village-level appellations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasQualityLevel
Context triple: [Côte Chalonnaise, hasQualityLevel, village-level appellations]
  • A. hasPerceptualQuality
    Indicates that something possesses a particular sensory or perceptual characteristic, such as a color, sound, texture, taste, or smell.
  • B. hasLevel chosen
    Indicates that an entity possesses or is associated with a particular degree, rank, or stage within an ordered scale or hierarchy.
  • C. storageQuality
    Indicates the degree or standard of how well something is stored, such as its preservation, safety, or suitability for use.
  • D. hasStabilityLevel
    Indicates that something possesses a particular degree or state of stability, often quantified or categorized along a defined scale.
  • E. hasQualifier
    Indicates that one entity serves as a qualifier or modifier that further specifies or restricts the meaning or scope of another entity or statement.
  • 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_69a8891948208190ab7898da21824c77 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb98c70c48190beb98aad56d9daf1 completed March 7, 2026, 5:37 a.m.
PD Predicate disambiguation batch_69abb7abba508190b872f345d3ba51bb completed March 7, 2026, 5:29 a.m.
Created at: March 4, 2026, 7:39 p.m.