Triple
T22265103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Vaison-la-Romaine |
E550330
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Sablet
Sablet is a small wine-producing village in southeastern France’s Vaucluse department, known for its Côtes du Rhône vineyards and medieval hilltop setting.
|
E1527782
|
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: Sablet | Statement: [canton of Vaison-la-Romaine, contains, Sablet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sablet Context triple: [canton of Vaison-la-Romaine, contains, Sablet]
-
A.
Saussignac
Saussignac is a small wine-producing commune in southwestern France, known for its sweet white wines made primarily from Sémillon and other Bordeaux grape varieties.
-
B.
Labine
Labine is a Canadian surname most notably associated with a family of actors, including Kyle Labine and his brothers.
-
C.
Labarde
Labarde is a commune in southwestern France’s Bordeaux wine region, known for producing prestigious Margaux appellation wines.
-
D.
Orléat
Orléat is a small commune in central France’s Puy-de-Dôme department, known for its rural character within the Auvergne region.
-
E.
Larroquette
Larroquette is the surname of John Larroquette, an American actor best known for his Emmy-winning role as Dan Fielding on the sitcom "Night Court."
- 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: Sablet Triple: [canton of Vaison-la-Romaine, contains, Sablet]
Generated description
Sablet is a small wine-producing village in southeastern France’s Vaucluse department, known for its Côtes du Rhône vineyards and medieval hilltop setting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sablet Target entity description: Sablet is a small wine-producing village in southeastern France’s Vaucluse department, known for its Côtes du Rhône vineyards and medieval hilltop setting.
-
A.
Saussignac
Saussignac is a small wine-producing commune in southwestern France, known for its sweet white wines made primarily from Sémillon and other Bordeaux grape varieties.
-
B.
Labine
Labine is a Canadian surname most notably associated with a family of actors, including Kyle Labine and his brothers.
-
C.
Labarde
Labarde is a commune in southwestern France’s Bordeaux wine region, known for producing prestigious Margaux appellation wines.
-
D.
Orléat
Orléat is a small commune in central France’s Puy-de-Dôme department, known for its rural character within the Auvergne region.
-
E.
Larroquette
Larroquette is the surname of John Larroquette, an American actor best known for his Emmy-winning role as Dan Fielding on the sitcom "Night Court."
- 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_69e11e43d8208190aff4f9cf7f2c2a8a |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f141bb850881908f5e9c37afb52ca8 |
completed | April 28, 2026, 11:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ab66c7f248190be0b13342f843eb8 |
completed | May 18, 2026, 6:49 a.m. |
| NEDg | Description generation | batch_6a0ab7b53aa881908227842536d7e8cc |
completed | May 18, 2026, 6:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ab82b5a988190a55dd87f10664821 |
completed | May 18, 2026, 6:56 a.m. |
Created at: April 16, 2026, 8:39 p.m.