Triple

T35428985
Position Surface form Disambiguated ID Type / Status
Subject Vin Jaune E1024001 entity
Predicate legalClassificationRegion P198392 FINISHED
Object Jura AOC
Jura AOC is a renowned French wine appellation in the Jura region, best known for its distinctive oxidative wines such as Vin Jaune made primarily from the Savagnin grape.
E2140198 NE FINISHED

How this triple was built (3 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: Jura AOC | Statement: [Vin Jaune, legalClassificationRegion, Jura AOC]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Jura AOC
Triple: [Vin Jaune, legalClassificationRegion, Jura AOC]
Generated description
Jura AOC is a renowned French wine appellation in the Jura region, best known for its distinctive oxidative wines such as Vin Jaune made primarily from the Savagnin grape.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legalClassificationRegion
Context triple: [Vin Jaune, legalClassificationRegion, Jura AOC]
  • A. legalSystemRegion
    Indicates the geographic or jurisdictional region within which a particular legal system is applicable or in force.
  • B. legalJurisdiction
    Indicates the legal authority or geographic area whose laws and courts have the power to govern, regulate, or adjudicate matters involving the related entities.
  • C. countryJurisdiction
    Indicates that one country has legal authority, control, or governing power over a specified territory, entity, or matter.
  • D. legalLicenseJurisdiction
    Indicates the legal authority or geographic area under whose laws a particular license is granted, valid, or enforced.
  • E. regionallyClassifiedAs chosen
    Indicates that something is assigned to or identified with a specific geographic or regional category.
  • F. None of above.

Provenance (6 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_69f76df743c48190aecb6dd79efb0d95 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69ff97637ad881908c24fe2cc6b036db completed May 9, 2026, 8:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3836bb15a88190bd3000e85f368548 completed June 21, 2026, 7:08 p.m.
NEDg Description generation batch_6a38382cd690819085e411aa807583e7 completed June 21, 2026, 7:14 p.m.
NED2 Entity disambiguation (via description) batch_6a38388631b481909efa1a1d59e48fa5 completed June 21, 2026, 7:16 p.m.
PD Predicate disambiguation batch_69ff96c43a808190942eeda1934602db completed May 9, 2026, 8:19 p.m.
Created at: May 3, 2026, 4:03 p.m.