Triple
T348030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bordeaux |
E6982
|
entity |
| Predicate | hasSubregion |
P285
|
FINISHED |
| Object |
Fronsac
Fronsac is a French wine appellation on the right bank of the Dordogne River, known for its Merlot-based red wines and proximity to Bordeaux.
|
E51137
|
NE FINISHED |
How this triple was built (4 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: Fronsac | Statement: [Bordeaux, hasSubregion, Fronsac]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fronsac Context triple: [Bordeaux, hasSubregion, Fronsac]
-
A.
Châteauroux
Châteauroux is a city in central France that will host the shooting events for the 2024 Summer Olympics.
-
B.
Bordeaux
Bordeaux is a renowned wine-producing region in southwestern France, famous for its prestigious red blends and long winemaking tradition.
-
C.
Saint-Émilion
Saint-Émilion is a renowned wine-producing appellation and medieval village on Bordeaux’s Right Bank, famous for its Merlot-dominant red wines and UNESCO-listed historic vineyards.
-
D.
Médoc
Médoc is a renowned wine-producing area in southwestern France, famous for its high-quality red Bordeaux wines made predominantly from Cabernet Sauvignon.
-
E.
Pessac-Léognan
Pessac-Léognan is a prestigious wine appellation in southwestern France known for its high-quality red and dry white wines, including several classified growths.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Fronsac Triple: [Bordeaux, hasSubregion, Fronsac]
Generated description
Fronsac is a French wine appellation on the right bank of the Dordogne River, known for its Merlot-based red wines and proximity to Bordeaux.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fronsac Target entity description: Fronsac is a French wine appellation on the right bank of the Dordogne River, known for its Merlot-based red wines and proximity to Bordeaux.
-
A.
Châteauroux
Châteauroux is a city in central France that will host the shooting events for the 2024 Summer Olympics.
-
B.
Bordeaux
Bordeaux is a renowned wine-producing region in southwestern France, famous for its prestigious red blends and long winemaking tradition.
-
C.
Saint-Émilion
Saint-Émilion is a renowned wine-producing appellation and medieval village on Bordeaux’s Right Bank, famous for its Merlot-dominant red wines and UNESCO-listed historic vineyards.
-
D.
Médoc
Médoc is a renowned wine-producing area in southwestern France, famous for its high-quality red Bordeaux wines made predominantly from Cabernet Sauvignon.
-
E.
Pessac-Léognan
Pessac-Léognan is a prestigious wine appellation in southwestern France known for its high-quality red and dry white wines, including several classified growths.
- F. None of above. chosen
Provenance (5 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_69a2e7951ba08190960e90823b5078f3 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eb1c1c908190b3a01de893207ed1 |
completed | Feb. 28, 2026, 1:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a413ee31fc81908cbda4c0737d1b33 |
completed | March 1, 2026, 10:24 a.m. |
| NEDg | Description generation | batch_69a414552e488190b02254f5c078eeb1 |
completed | March 1, 2026, 10:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a41485f4048190b47a78d05fa775b1 |
completed | March 1, 2026, 10:27 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.