Triple
T15403886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aisne |
E368397
|
entity |
| Predicate | mouthOfWaterBody |
P3817
|
FINISHED |
| Object | Oise |
E47853
|
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: Oise | Statement: [Aisne, mouthOfWaterBody, Oise]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oise Context triple: [Aisne, mouthOfWaterBody, Oise]
-
A.
Oise
chosen
Oise is a major river in northern France that flows through regions such as Picardy and Île-de-France before joining the Seine near Paris.
-
B.
Vosgien
Vosgien is a regional dialect of the Lorrain language spoken in the Vosges area of northeastern France.
-
C.
Oise River
The Oise River is a major waterway in northern France and southern Belgium that flows into the Seine and serves as an important route for inland navigation and commerce.
-
D.
Vallée de la Marne
Vallée de la Marne is a key subregion of France’s Champagne wine area, known for its vineyards along the Marne River and its significant production of Pinot Meunier–based sparkling wines.
-
E.
La Cambe
La Cambe is a commune in the Calvados department of Normandy in northwestern France, known for its proximity to major World War II sites including a large German war cemetery.
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e8fde64819082ec0c68df305561 |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff13584f8881908b2527c51f85ae28 |
completed | May 9, 2026, 10:58 a.m. |
Created at: April 10, 2026, 3:19 a.m.