Triple
T19000508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rhemes-Notre-Dame |
E464936
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object | Rhêmes river |
—
|
NE NERFINISHED |
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: Rhêmes river | Statement: [Rhemes-Notre-Dame, locatedOnRiver, Rhêmes river]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rhêmes river Context triple: [Rhemes-Notre-Dame, locatedOnRiver, Rhêmes river]
-
A.
Rhêmes river
chosen
The Rhêmes river is a mountain stream in Italy’s Aosta Valley that flows through the alpine Val di Rhêmes.
-
B.
Célé River
The Célé River is a scenic tributary of the Lot in southwestern France, known for flowing through limestone gorges and past prehistoric cave sites such as Pech Merle.
-
C.
Chiers River
The Chiers River is a tributary of the Meuse that flows through Luxembourg, Belgium, and northeastern France, passing industrial towns such as Longwy along its course.
-
D.
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.
-
E.
Avre River
The Avre River is a watercourse in northern France that flows through the Picardy region before joining the Somme River.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd01a56c81909694a128c66b21d7 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6863cf4819096e471d19f9a714c |
completed | April 20, 2026, 7:32 a.m. |
Created at: April 10, 2026, 12:01 p.m.