Triple
T15181265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aspremont |
E362748
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | Aspremont (French) |
E362748
|
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: Aspremont (French) | Statement: [Aspremont, hasNameInLanguage, Aspremont (French)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aspremont (French) Context triple: [Aspremont, hasNameInLanguage, Aspremont (French)]
-
A.
Tessin (French)
Tessin is the French name for the Swiss canton of Ticino, an Italian-speaking region in southern Switzerland.
-
B.
La Bresse (French)
La Bresse (French) is a commune in the Vosges department of northeastern France, known for its ski resort and outdoor mountain activities in the Vosges Mountains.
-
C.
Thielle (French)
Thielle is the French name for the Zihl, a river and canal system in western Switzerland connecting Lakes Neuchâtel and Biel.
-
D.
Aspremont
chosen
Aspremont is a small picturesque commune in southeastern France, situated in the hills above Nice in the Alpes-Maritimes department.
-
E.
Auberjonois
Auberjonois is a surname most prominently associated with René Auberjonois, an American actor known for roles in film, television, and voice work.
- 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_69e00664caac81909bee1268264769f8 |
completed | April 15, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec89210e081909e8077fa2487c40e |
completed | May 9, 2026, 5:39 a.m. |
Created at: April 10, 2026, 3:09 a.m.