Triple
T13198779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph de Maistre |
E314186
|
entity |
| Predicate | ethnicGroup |
P194
|
FINISHED |
| Object | Savoyard |
E271848
|
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: Savoyard | Statement: [Joseph de Maistre, ethnicGroup, Savoyard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Savoyard Context triple: [Joseph de Maistre, ethnicGroup, Savoyard]
-
A.
Guignard
Guignard was a prominent Brazilian painter and art educator known for his lyrical landscapes and significant influence on modern Brazilian art.
-
B.
Savoyard Arpitan
chosen
Savoyard Arpitan is a regional variety of the Arpitan (Franco-Provençal) language traditionally spoken in the Savoy region of the western Alps.
-
C.
Seigneux
Seigneux is a small municipality in the canton of Fribourg in western Switzerland.
-
D.
Gave de Pau
Gave de Pau is a river in southwestern France that flows through the city of Pau and forms part of the Adour river system in the Pyrenees region.
-
E.
Montataire
Montataire is a commune in northern France known for its industrial heritage and proximity to the city of Creil in the Oise department.
- 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_69d806aee7308190b70a237ba2a6e3e1 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c64290881909759ef3a281b6a68 |
completed | April 10, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f60ae01c8190aa7669d6f574df09 |
completed | May 3, 2026, 7:15 a.m. |
Created at: April 9, 2026, 9:16 p.m.