Triple
T558310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cloisonnism |
E11991
|
entity |
| Predicate | locationOfActivity |
P1527
|
FINISHED |
| Object | Pont-Aven |
E11993
|
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: Pont-Aven | Statement: [Cloisonnism, locationOfActivity, Pont-Aven]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pont-Aven Context triple: [Cloisonnism, locationOfActivity, Pont-Aven]
-
A.
Pont-Aven School
chosen
The Pont-Aven School was a late 19th-century group of artists centered in Pont-Aven, Brittany, known for pioneering Synthetism and influencing Post-Impressionism through bold colors and simplified forms.
-
B.
Eygues
Eygues is a river in southeastern France that flows through the Drôme department before joining the larger Rhône basin.
-
C.
Boncourt
Boncourt is a locality known for its historic Château de Boncourt, reflecting its cultural and architectural heritage.
-
D.
Volnay
Volnay is a renowned wine-producing village in Burgundy, France, celebrated for its elegant, aromatic red wines made primarily from Pinot Noir.
-
E.
Arles
Arles is a historic city in southern France renowned for its well-preserved Roman monuments and its association with the painter Vincent van Gogh.
- 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_69a4932941d08190815efd422f0b4ca7 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a499df43f08190b514a38d36fc271d |
completed | March 1, 2026, 7:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4e645da348190a49fe5a1f5c4077c |
completed | March 2, 2026, 1:22 a.m. |
Created at: March 1, 2026, 7:32 p.m.