Triple
T7545241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les Andelys |
E178384
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Eure |
E583530
|
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: Eure | Statement: [Les Andelys, locatedIn, Eure]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eure Context triple: [Les Andelys, locatedIn, Eure]
-
A.
Eure
Eure is a river in northern France that flows through the regions of Normandy and Centre-Val de Loire before joining the Seine.
-
B.
Eure
chosen
Eure is a department in the Normandy region of northern France, known for its rural landscapes, historic towns, and proximity to Paris.
-
C.
Eure River
The Eure River is a tributary of the Seine in northern France that flows through the city of Chartres and several other towns in the Normandy and Centre-Val de Loire regions.
-
D.
Jever
Jever is a historic town in Lower Saxony, Germany, best known for its traditional North German architecture and the Jever Pilsener brewery.
-
E.
Rheinau
Rheinau is a district of Mannheim in the German state of Baden-Württemberg, known for its residential areas and proximity to the Rhine.
- 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_69c69f2cbe08819088f9eb0c03ef529b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f898069881909fa8f9c885c4565b |
completed | March 27, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84f21aa5c819085e8d1ecbd9b01e3 |
completed | March 28, 2026, 9:58 p.m. |
Created at: March 27, 2026, 3:48 p.m.