Triple
T4995099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Collio |
E112225
|
entity |
| Predicate | grapeVariety |
P975
|
FINISHED |
| Object | Picolit |
E483772
|
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: Picolit | Statement: [Collio, grapeVariety, Picolit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Picolit Context triple: [Collio, grapeVariety, Picolit]
-
A.
Picolit
chosen
Picolit is an Italian white grape variety best known for producing rare, sweet, and aromatic dessert wines, particularly in the Friuli region.
-
B.
Aligoté
Aligoté is a white grape variety from Burgundy known for producing light, crisp, and high-acid wines often enjoyed young.
-
C.
Foissac
Foissac is a small commune in southern France known for its proximity to the prehistoric Grotte de Foissac cave system.
-
D.
Cèze
The Cèze is a river in southern France known for its scenic gorges, clear waters, and popular swimming and canoeing spots.
-
E.
Lauzerte
Lauzerte is a medieval hilltop village in southern France known for its well-preserved historic center and picturesque views over the surrounding countryside.
- 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_69bd4432b32c81909f3b3c6bd10f0653 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd729e9fb48190a467b6a373a73367 |
completed | March 20, 2026, 4:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be8a30bb988190939e1ca5226e1dd4 |
completed | March 21, 2026, 12:08 p.m. |
Created at: March 20, 2026, 1:34 p.m.