Triple
T11468870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Savoyard Arpitan |
E271848
|
entity |
| Predicate | hasVernacularName |
P21937
|
FINISHED |
| Object |
arpitan savoyard
Arpitan Savoyard is a regional variety of the Arpitan (Franco-Provençal) language traditionally spoken in the Savoy region of the western Alps.
|
E927233
|
NE FINISHED |
How this triple was built (4 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 savoyard | Statement: [Savoyard Arpitan, hasVernacularName, arpitan savoyard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: arpitan savoyard Context triple: [Savoyard Arpitan, hasVernacularName, arpitan savoyard]
-
A.
Sylvain
Sylvain is a masculine given name of French origin commonly used in Francophone countries.
-
B.
Arnaud
Arnaud is a small commune located in Haiti’s Nippes Department.
-
C.
S. Varnier
S. Varnier is an author known for writing the song "Sexy Bitch."
-
D.
Tatischeff
Tatischeff is the original family surname of French filmmaker and actor Jacques Tati, known for his influential comedic films and the character Monsieur Hulot.
-
E.
Antoine Parra
Antoine Parra is a French local politician who serves as the mayor of the coastal commune of Argelès-sur-Mer in southern France.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: arpitan savoyard Triple: [Savoyard Arpitan, hasVernacularName, arpitan savoyard]
Generated description
Arpitan Savoyard is a regional variety of the Arpitan (Franco-Provençal) language traditionally spoken in the Savoy region of the western Alps.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: arpitan savoyard Target entity description: Arpitan Savoyard is a regional variety of the Arpitan (Franco-Provençal) language traditionally spoken in the Savoy region of the western Alps.
-
A.
Sylvain
Sylvain is a masculine given name of French origin commonly used in Francophone countries.
-
B.
Arnaud
Arnaud is a small commune located in Haiti’s Nippes Department.
-
C.
S. Varnier
S. Varnier is an author known for writing the song "Sexy Bitch."
-
D.
Tatischeff
Tatischeff is the original family surname of French filmmaker and actor Jacques Tati, known for his influential comedic films and the character Monsieur Hulot.
-
E.
Antoine Parra
Antoine Parra is a French local politician who serves as the mayor of the coastal commune of Argelès-sur-Mer in southern France.
- F. None of above. chosen
Provenance (5 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d822f74144819094479690c8151073 |
completed | April 9, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5e9429a308190810b485708d28617 |
completed | April 20, 2026, 8:52 a.m. |
| NEDg | Description generation | batch_69e5f15a50b881908d0930021833ae74 |
completed | April 20, 2026, 9:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5f88f16748190826a7fc5d27019d7 |
completed | April 20, 2026, 9:57 a.m. |
Created at: April 8, 2026, 9:35 p.m.