Triple
T18549898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephen I, Count of Sancerre |
E453342
|
entity |
| Predicate | lordOf |
P47636
|
FINISHED |
| Object | Sancerre |
—
|
NE NERFINISHED |
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: Sancerre | Statement: [Stephen I, Count of Sancerre, lordOf, Sancerre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sancerre Context triple: [Stephen I, Count of Sancerre, lordOf, Sancerre]
-
A.
Sancerre
chosen
Sancerre is a renowned French wine appellation in the Loire Valley, best known for its crisp, mineral-driven white wines.
-
B.
Bourgueil AOC
Bourgueil AOC is a renowned French wine appellation in the Loire Valley, best known for its Cabernet Franc–based red wines that range from light and fruity to structured and age-worthy.
-
C.
Savennières AOC
Savennières AOC is a renowned Loire Valley wine appellation in France, celebrated for its dry, age-worthy Chenin Blanc wines.
-
D.
Chinon AOC
Chinon AOC is a renowned French wine appellation in the Loire Valley, best known for its Cabernet Franc–based red wines and distinctive terroir along the Vienne River.
-
E.
Fronsac AOC
Fronsac AOC is a French wine appellation in Bordeaux known for its Merlot-dominant red wines that often offer excellent quality and value.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d388b0c881908e610a1c45b52640 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e534beeb408190a03f6d7c3f2ef389 |
completed | April 19, 2026, 8:02 p.m. |
Created at: April 10, 2026, 11:38 a.m.