Triple
T9682670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aude River |
E234323
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | Aude (French) |
E88276
|
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: Aude (French) | Statement: [Aude River, hasNameInLanguage, Aude (French)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aude (French) Context triple: [Aude River, hasNameInLanguage, Aude (French)]
-
A.
Aude
chosen
Aude is a department in southern France known for its historic Cathar castles, medieval city of Carcassonne, and Mediterranean coastline.
-
B.
Alain (French)
Alain is the French given name equivalent to the English name Alan, commonly used for males in French-speaking countries.
-
C.
Jean (French)
Jean is the standard French given name equivalent to the English name John, widely used for men in French-speaking countries.
-
D.
Lez (French)
Lez (French) is the French name of the Lez River, a watercourse in southern France that flows through the city of Montpellier before reaching the Mediterranean Sea.
-
E.
Tessin (French)
Tessin is the French name for the Swiss canton of Ticino, an Italian-speaking region in southern Switzerland.
- 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_69ca84c99e34819092e5563a7106cfca |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9ccdbcc48190a4a9a70b3f419ac2 |
completed | April 1, 2026, 10:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1910192e88190b10409ae62c1c948 |
completed | April 4, 2026, 10:30 p.m. |
Created at: March 30, 2026, 8:16 p.m.