Triple
T17275241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Douai |
E419373
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Sin-le-Noble |
E1258653
|
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: Sin-le-Noble | Statement: [canton of Douai, contains, Sin-le-Noble]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sin-le-Noble Context triple: [canton of Douai, contains, Sin-le-Noble]
-
A.
Sin-le-Noble
chosen
Sin-le-Noble is a commune in northern France’s Nord department, situated near the city of Douai in the Hauts-de-France region.
-
B.
Samoreau
Samoreau is a small commune in the Seine-et-Marne department in north-central France, situated near the Seine River and known for its quiet residential character.
-
C.
Artouste
Artouste is a small ski resort in the French Pyrenees known for its scenic slopes overlooking the Ossau Valley and its historic mountain railway.
-
D.
Lornay
Lornay is a small French commune located in the Haute-Savoie department in southeastern France.
-
E.
Sauvestre
Sauvestre is a French surname most notably associated with architect Stephen Sauvestre, who contributed to the design of the Eiffel Tower.
- 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_69d886da626481908a14ce7830329a35 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e4332566c08190b4495dbbfe310ab6 |
completed | April 19, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01794f6cf481909d76e3d61f9888c5 |
completed | May 11, 2026, 6:38 a.m. |
Created at: April 10, 2026, 5:40 a.m.