Triple
T22265091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Vaison-la-Romaine |
E550330
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Brantes
Brantes is a small, picturesque village in southeastern France, known for its scenic setting in the Vaucluse department beneath Mont Ventoux.
|
E1528563
|
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: Brantes | Statement: [canton of Vaison-la-Romaine, contains, Brantes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brantes Context triple: [canton of Vaison-la-Romaine, contains, Brantes]
-
A.
Wedderborg
Wedderborg is a historic fortified manor house and former stronghold located in the village of Wedde in the Netherlands.
-
B.
Elbling
Elbling is an ancient white wine grape variety primarily cultivated in Germany and Luxembourg, known for producing light, crisp, and high-acidity wines.
-
C.
Bronsteyn
Bronsteyn is a surname, likely a variant or related form of the Jewish surname Bronshteyn (often spelled Bronstein).
-
D.
Bladon
Bladon is a village in Oxfordshire, England, best known as the burial place of Sir Winston Churchill.
-
E.
Bronneger
Bronneger is a small village in the Dutch province of Drenthe, known for its nearby prehistoric dolmens (hunebedden) and rural landscape.
- 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: Brantes Triple: [canton of Vaison-la-Romaine, contains, Brantes]
Generated description
Brantes is a small, picturesque village in southeastern France, known for its scenic setting in the Vaucluse department beneath Mont Ventoux.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brantes Target entity description: Brantes is a small, picturesque village in southeastern France, known for its scenic setting in the Vaucluse department beneath Mont Ventoux.
-
A.
Wedderborg
Wedderborg is a historic fortified manor house and former stronghold located in the village of Wedde in the Netherlands.
-
B.
Elbling
Elbling is an ancient white wine grape variety primarily cultivated in Germany and Luxembourg, known for producing light, crisp, and high-acidity wines.
-
C.
Bronsteyn
Bronsteyn is a surname, likely a variant or related form of the Jewish surname Bronshteyn (often spelled Bronstein).
-
D.
Bladon
Bladon is a village in Oxfordshire, England, best known as the burial place of Sir Winston Churchill.
-
E.
Bronneger
Bronneger is a small village in the Dutch province of Drenthe, known for its nearby prehistoric dolmens (hunebedden) and rural landscape.
- 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_6a0abc9c3a0481909ea2f553501b5f90 |
completed | May 18, 2026, 7:15 a.m. |
| NEDg | Description generation | batch_6a0abdba268881908b936c0abf539a39 |
completed | May 18, 2026, 7:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0abf213878819085413d22a824fe58 |
completed | May 18, 2026, 7:26 a.m. |
Created at: April 16, 2026, 8:39 p.m.