Triple
T21985965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Le Sancy |
E542961
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Saint-Donat
Saint-Donat is a small French commune located in the mountainous Le Sancy area of the Auvergne region in central France.
|
E1513601
|
NE FINISHED |
How this triple was built (4 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: Saint-Donat | Statement: [canton of Le Sancy, contains, Saint-Donat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saint-Donat Context triple: [canton of Le Sancy, contains, Saint-Donat]
-
A.
Saint-Donat-sur-l’Herbasse
Saint-Donat-sur-l’Herbasse is a commune in the Drôme department in southeastern France, known for its rural setting in the Herbasse valley.
-
B.
Saint-Philibert
Saint-Philibert is a metro station in the Lille Métropole area of northern France, serving as one of the termini of the city’s automated Line 2.
-
C.
Saint-Saphorin
Saint-Saphorin is a picturesque wine-growing village on the shores of Lake Geneva in Switzerland, renowned for its terraced vineyards and historic charm.
-
D.
Count of Saint-Leu
The Count of Saint-Leu was a noble title held by Louis Bonaparte, former King of Holland and younger brother of Napoleon Bonaparte.
-
E.
Kastellaun
Kastellaun is a small historic town in western Germany’s Hunsrück region, known for its medieval castle ruins and picturesque old town.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Saint-Donat Triple: [canton of Le Sancy, contains, Saint-Donat]
Generated description
Saint-Donat is a small French commune located in the mountainous Le Sancy area of the Auvergne region in central France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Saint-Donat Target entity description: Saint-Donat is a small French commune located in the mountainous Le Sancy area of the Auvergne region in central France.
-
A.
Saint-Donat-sur-l’Herbasse
Saint-Donat-sur-l’Herbasse is a commune in the Drôme department in southeastern France, known for its rural setting in the Herbasse valley.
-
B.
Saint-Philibert
Saint-Philibert is a metro station in the Lille Métropole area of northern France, serving as one of the termini of the city’s automated Line 2.
-
C.
Saint-Saphorin
Saint-Saphorin is a picturesque wine-growing village on the shores of Lake Geneva in Switzerland, renowned for its terraced vineyards and historic charm.
-
D.
Count of Saint-Leu
The Count of Saint-Leu was a noble title held by Louis Bonaparte, former King of Holland and younger brother of Napoleon Bonaparte.
-
E.
Kastellaun
Kastellaun is a small historic town in western Germany’s Hunsrück region, known for its medieval castle ruins and picturesque old town.
- F. None of above. chosen
Provenance (5 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_69e0c48136b081908831fa907cc02e18 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f12709cb288190a2620e337fea364c |
completed | April 28, 2026, 9:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a736bfe7081909db00c0d0c4a4d8f |
completed | May 18, 2026, 2:03 a.m. |
| NEDg | Description generation | batch_6a0a74fbaad081908c82af6989820455 |
completed | May 18, 2026, 2:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a75da70b0819086ad27b3f422c1a9 |
completed | May 18, 2026, 2:13 a.m. |
Created at: April 16, 2026, 8:04 p.m.