Triple
T8801960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eragny-sur-Epte |
E209430
|
entity |
| Predicate | locatedOnWaterway |
P4361
|
FINISHED |
| Object | Epte River |
E219896
|
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: Epte River | Statement: [Eragny-sur-Epte, locatedOnWaterway, Epte River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Epte River Context triple: [Eragny-sur-Epte, locatedOnWaterway, Epte River]
-
A.
Epte River
chosen
The Epte River is a tributary of the Seine in northern France, renowned as a frequent subject in Claude Monet’s Impressionist landscapes.
-
B.
Deûle River
The Deûle River is a canalised river in northern France that flows through the city of Lille and serves as an important waterway in the region.
-
C.
Buëch River
The Buëch River is a river in southeastern France that flows through the Alps and Provence regions before joining the Durance.
-
D.
Arroux River
The Arroux River is a waterway in central France that flows through the Burgundy region, including the historic town of Autun, before joining the Loire River.
-
E.
Aure River
The Aure River is a small waterway in Normandy, northwestern France, that flows through the historic town of Bayeux before joining the Vire River.
- 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_69ca836320e48190b5cf585b90a322c4 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5fb9c5c88190881b069e1face10c |
completed | March 31, 2026, 11:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd0771920819081f191567c7e9fd2 |
completed | April 3, 2026, 2:36 p.m. |
Created at: March 30, 2026, 6:44 p.m.