Triple
T15185048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Île Saint-Étienne |
E362848
|
entity |
| Predicate | hasNameInFrench |
P6538
|
FINISHED |
| Object | Île Saint-Étienne |
E362848
|
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: Île Saint-Étienne | Statement: [Île Saint-Étienne, hasNameInFrench, Île Saint-Étienne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Île Saint-Étienne Context triple: [Île Saint-Étienne, hasNameInFrench, Île Saint-Étienne]
-
A.
Île Saint-Étienne
chosen
Île Saint-Étienne is a river island in the Seine that forms the historic core of the town of Melun in north-central France.
-
B.
Île du Ramier
Île du Ramier is a river island in Toulouse, France, known as a major recreational and sports area within the Garonne River.
-
C.
Île de la Tour
Île de la Tour is a small Swiss island located in the artificial Lake of Gruyère in the canton of Fribourg.
-
D.
Île Marande
Île Marande is a small river island near Argenteuil in the Île-de-France region of France, known as a local natural landmark along the Seine.
-
E.
Île de la Chaussée
Île de la Chaussée is a small island in the Seine near Paris, known for its picturesque riverside setting and association with the Impressionist painters who worked in the Bougival area.
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006674c088190ba635a78c30f5637 |
completed | April 15, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee5e82400819087dc782c1f48af39 |
completed | May 9, 2026, 7:44 a.m. |
Created at: April 10, 2026, 3:09 a.m.