Triple

T1404144
Position Surface form Disambiguated ID Type / Status
Subject Augusta AVA E31651 entity
Predicate grapeVariety P975 FINISHED
Object Chardonel
Chardonel is a hybrid white wine grape variety known for its cold hardiness and Chardonnay-like character, widely grown in cool-climate American wine regions.
E162260 NE FINISHED

How this triple was built (4 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: Chardonel | Statement: [Augusta AVA, grapeVariety, Chardonel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chardonel
Context triple: [Augusta AVA, grapeVariety, Chardonel]
  • A. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • B. Margeride
    Margeride is a mountainous and sparsely populated region in south-central France known for its granite plateaus, forests, and traditional rural landscapes.
  • C. Dardagny
    Dardagny is a rural Swiss municipality known for its vineyards and scenic landscapes in the western part of the canton of Geneva.
  • D. Sauvestre
    Sauvestre is a French surname most notably associated with architect Stephen Sauvestre, who contributed to the design of the Eiffel Tower.
  • E. Lemerig
    Lemerig is an endangered Oceanic language spoken by a small community on the island of Vanua Lava in northern Vanuatu.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Chardonel
Triple: [Augusta AVA, grapeVariety, Chardonel]
Generated description
Chardonel is a hybrid white wine grape variety known for its cold hardiness and Chardonnay-like character, widely grown in cool-climate American wine regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Chardonel
Target entity description: Chardonel is a hybrid white wine grape variety known for its cold hardiness and Chardonnay-like character, widely grown in cool-climate American wine regions.
  • A. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • B. Margeride
    Margeride is a mountainous and sparsely populated region in south-central France known for its granite plateaus, forests, and traditional rural landscapes.
  • C. Dardagny
    Dardagny is a rural Swiss municipality known for its vineyards and scenic landscapes in the western part of the canton of Geneva.
  • D. Sauvestre
    Sauvestre is a French surname most notably associated with architect Stephen Sauvestre, who contributed to the design of the Eiffel Tower.
  • E. Lemerig
    Lemerig is an endangered Oceanic language spoken by a small community on the island of Vanua Lava in northern Vanuatu.
  • F. None of above. chosen

Provenance (5 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_69a49918e1f88190ba610f9dc8114578 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c3a0330c8190b22452d29c79fcf4 completed March 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69ace573b9288190ac91d8f6ea94fa20 completed March 8, 2026, 2:56 a.m.
NEDg Description generation batch_69ace639296881909dc3fe52720d120d completed March 8, 2026, 3 a.m.
NED2 Entity disambiguation (via description) batch_69ace7730cf08190a4e0329be205da3f completed March 8, 2026, 3:05 a.m.
Created at: March 1, 2026, 7:59 p.m.