Triple
T3436611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Petite Sirah |
E72466
|
entity |
| Predicate | synonymInFrance |
P3575
|
FINISHED |
| Object | Durif |
E357205
|
NE 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: Durif | Statement: [Petite Sirah, synonymInFrance, Durif]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Durif Context triple: [Petite Sirah, synonymInFrance, Durif]
-
A.
Durif
chosen
Durif is a dark-skinned red wine grape variety known for producing deeply colored, full-bodied, tannic wines, particularly in regions like California and Australia.
-
B.
Usakhelauri grape
Usakhelauri grape is a rare, high-quality Georgian red wine grape variety prized for producing naturally semi-sweet, aromatic wines with limited yields.
-
C.
Aloysia
Aloysia is a feminine given name, historically used in European contexts and closely related to the name Louise.
-
D.
Aligoté
Aligoté is a white grape variety from Burgundy known for producing light, crisp, and high-acid wines often enjoyed young.
-
E.
Manzanilla
Manzanilla is a dry, pale Spanish fino-style sherry wine traditionally produced and aged in the coastal town of Sanlúcar de Barrameda.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ad85af50288190a854b76653deee6f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb9f4398c8190a75822068308037b |
completed | March 8, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b360cbcb60819095a28e50cac5a4ca |
completed | March 13, 2026, 12:56 a.m. |
Created at: March 8, 2026, 3:16 p.m.