Triple
T6653732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Langhe |
E150888
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object | Barolo wine |
E151240
|
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: Barolo wine | Statement: [Langhe, knownFor, Barolo wine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barolo wine Context triple: [Langhe, knownFor, Barolo wine]
-
A.
Barolo
chosen
Barolo is a prestigious Italian red wine made from Nebbiolo grapes, renowned for its powerful structure, complex aromas, and long aging potential.
-
B.
Brunello di Montalcino
Brunello di Montalcino is a prestigious Italian red wine made from Sangiovese grapes around the town of Montalcino in Tuscany, renowned for its longevity, structure, and complex flavors.
-
C.
Chianti
Chianti is a renowned Italian red wine region in Tuscany, famous for its Sangiovese-based wines and picturesque rolling vineyards.
-
D.
Barbaresco
Barbaresco is a prestigious Italian red wine made from Nebbiolo grapes, renowned for its elegance, aromatic complexity, and long aging potential.
-
E.
Vino Rosso
Vino Rosso is an American Thoroughbred racehorse best known for winning the 2019 Breeders’ Cup Classic and being a top-level dirt router.
- 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_69c687f2c9508190a60b9aad31d3f358 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b047eb688190bca86be98ac25e39 |
completed | March 27, 2026, 4:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6eefd800c8190806cf3dff204ca01 |
completed | March 27, 2026, 8:56 p.m. |
Created at: March 27, 2026, 2:01 p.m.