Triple
T14221844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Musée de Pont-Aven |
E352514
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Aven River |
E509703
|
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: Aven River | Statement: [Musée de Pont-Aven, locatedNear, Aven River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aven River Context triple: [Musée de Pont-Aven, locatedNear, Aven River]
-
A.
Aven River
chosen
The Aven River is a picturesque waterway in Brittany, France, renowned for inspiring artists and flowing through the historic town of Pont-Aven before reaching the Atlantic Ocean.
-
B.
Attert River
The Attert River is a small river in Belgium and Luxembourg that flows through the Ardennes region before joining the Alzette River.
-
C.
Alna River
The Alna River is a watercourse in Oslo, Norway, that flows through the Alna district and several other urban and natural areas before reaching the Oslofjord.
-
D.
Vingeanne River
The Vingeanne River is a watercourse in eastern France that flows through the Bourgogne-Franche-Comté region before joining the Saône River.
-
E.
Gavaraget River
The Gavaraget River is a watercourse in Armenia that serves as one of the tributaries feeding into Lake Sevan.
- 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_69d8278a06e481908b5d6af0a8afe737 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6213801c8190a47705cd890b9ae7 |
completed | April 14, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed31670a48190a606e812a2aa0a6e |
completed | May 9, 2026, 6:24 a.m. |
Created at: April 10, 2026, 1:06 a.m.