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.