Triple
T16830105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arrondissement of Annecy |
E409125
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Doussard |
E269836
|
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: Doussard | Statement: [Arrondissement of Annecy, contains, Doussard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doussard Context triple: [Arrondissement of Annecy, contains, Doussard]
-
A.
Doussard
chosen
Doussard is a French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region, known for its scenic setting at the southern end of Lake Annecy and its outdoor recreational activities.
-
B.
Ducrot
Ducrot is a French surname most notably borne by Auguste-Alexandre Ducrot, a 19th-century French general.
-
C.
Bousquet
Bousquet was an 18th-century publishing house known for issuing scientific and medical works, including Albrecht von Haller’s influential "Elementa Physiologiae Corporis Humani."
-
D.
Rigault
Rigault is a French surname most notably associated with Raoul Rigault, a prominent figure of the Paris Commune of 1871.
-
E.
Barbaroux
Barbaroux is a French surname most notably associated with Charles Barbaroux, a prominent figure of the French Revolution.
- 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_69d88394566c8190b3dcbdc72935f7fa |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b316acc881909c686add53d72388 |
completed | April 18, 2026, 4:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b2a0ac148190a7a7edebcb67c040 |
completed | May 10, 2026, 4:30 p.m. |
Created at: April 10, 2026, 5:23 a.m.