Triple

T28093666
Position Surface form Disambiguated ID Type / Status
Subject Côte des Bar E710025 entity
Predicate farming P17060 FINISHED
Object mixed conventional and organic viticulture 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: mixed conventional and organic viticulture | Statement: [Côte des Bar, farming, mixed conventional and organic viticulture]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: farming
Context triple: [Côte des Bar, farming, mixed conventional and organic viticulture]
  • A. crop
    Indicates the action of cutting or trimming part of an object or image, typically to remove unwanted outer areas while keeping a selected region.
  • B. agriculturalFocus
    Indicates that an entity is primarily concerned with, oriented toward, or specializing in agriculture or farming-related activities.
  • C. farmSystemOf
    Indicates that one entity is the agricultural or farming system to which another entity belongs or with which it is associated.
  • D. farmingCharacteristics chosen
    Indicates the specific methods, practices, or attributes that characterize how farming is conducted in relation to an entity.
  • E. agriculturalPractice
    Indicates a relationship where an entity engages in, applies, or is associated with a specific method or technique of agriculture or farming.
  • 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_69ef9b70fd108190a875953b2e50ca91 completed April 27, 2026, 5:22 p.m.
NER Named-entity recognition batch_69f6406d517481908e5b24b2f41c585b completed May 2, 2026, 6:20 p.m.
PD Predicate disambiguation batch_69f63c6a8474819091b8c6fe98e3862d completed May 2, 2026, 6:03 p.m.
Created at: April 27, 2026, 9 p.m.