Triple
T3107690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Savoie |
E64871
|
entity |
| Predicate | regionalLanguage |
P237
|
FINISHED |
| Object | Arpitan |
E52559
|
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: Arpitan | Statement: [Savoie, regionalLanguage, Arpitan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arpitan Context triple: [Savoie, regionalLanguage, Arpitan]
-
A.
Arpitan
chosen
Arpitan is a Romance language traditionally spoken in parts of France, Switzerland, and Italy, particularly in the Alpine region.
-
B.
Paris Union
The Paris Union is the international organization of member states that administers and cooperates under the Paris Convention framework to protect industrial property such as patents, trademarks, and industrial designs.
-
C.
Oberkampf
Oberkampf is a Paris Métro station in the 11th arrondissement, serving as an interchange between lines 5 and 9 near the lively Oberkampf district.
-
D.
École spéciale militaire de Saint-Cyr
The École spéciale militaire de Saint-Cyr is France’s premier military academy, responsible for training the country’s elite army officers.
-
E.
Catroux
Catroux is a French surname most notably borne by Georges Catroux, a prominent French general and diplomat of the 20th century.
- 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_69ad857eeaf48190b34ebfdaa7a264cf |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada29d4aa8819093287bc71370fc05 |
completed | March 8, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2038c89248190b880108c82ad35b1 |
completed | March 12, 2026, 12:06 a.m. |
Created at: March 8, 2026, 3:04 p.m.