Triple
T3470290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beaune |
E73240
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Burgundy wine region |
E6890
|
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: Burgundy wine region | Statement: [Beaune, partOf, Burgundy wine region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burgundy wine region Context triple: [Beaune, partOf, Burgundy wine region]
-
A.
Bordeaux wine region
The Bordeaux wine region is a renowned area in southwestern France famous for its prestigious red, white, and sweet wines produced across numerous appellations.
-
B.
Burgundy
Burgundy is a mid-level membership tier in the Privilege Club loyalty program, offering enhanced benefits and rewards to frequent participants.
-
C.
Burgundy
chosen
Burgundy is a renowned wine-producing region in eastern France, famous for its high-quality Chardonnay and Pinot Noir wines.
-
D.
Provence wine region
The Provence wine region is a renowned area in southeastern France famous for its rosé wines, Mediterranean climate, and picturesque vineyards.
-
E.
Bergerac wine region
Bergerac wine region is a French appellation area in the Dordogne known for producing a wide range of red, white, and rosé wines, including both dry and sweet styles.
- 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_69ad85b2fed48190948c8765e453d270 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb392f6481908b6ad0457b8cf421 |
completed | March 8, 2026, 6:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4c3718bd88190bec2f4cfda0010ae |
completed | March 14, 2026, 2:09 a.m. |
Created at: March 8, 2026, 3:17 p.m.