Triple
T20134948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pays arpitan |
E491000
|
entity |
| Predicate | language |
P15
|
FINISHED |
| Object | Arpitan |
—
|
NE NERFINISHED |
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: Arpitan | Statement: [Pays arpitan, language, Arpitan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arpitan Context triple: [Pays arpitan, language, Arpitan]
-
A.
Arpitan
chosen
Arpitan is a Romance language traditionally spoken in parts of France, Switzerland, and Italy, particularly in the Alpine region.
-
B.
St. Cyr
St. Cyr is a surname most notably associated with Johnny St. Cyr, an influential American jazz banjoist and guitarist who played with Louis Armstrong and other early jazz greats.
-
C.
Rigault
Rigault is a French surname most notably associated with Raoul Rigault, a prominent figure of the Paris Commune of 1871.
-
D.
Barbaroux
Barbaroux is a French surname most notably associated with Charles Barbaroux, a prominent figure of the French Revolution.
-
E.
Prytanée National Militaire
The Prytanée National Militaire is a prestigious French military secondary school and preparatory academy renowned for educating future officers and leaders.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66766e46c81908721fd47066dc9f8 |
completed | April 20, 2026, 5:50 p.m. |
Created at: April 11, 2026, 11:32 p.m.