Triple
T14647091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scionzier |
E343877
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object | Scionzierain |
E1111878
|
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: Scionzierain | Statement: [Scionzier, hasDemonym, Scionzierain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scionzierain Context triple: [Scionzier, hasDemonym, Scionzierain]
-
A.
Scionzier
Scionzier is a commune in the Haute-Savoie department of southeastern France, situated in the French Alps.
-
B.
Scionzieraine
chosen
Scionzieraine is the French demonym for an inhabitant or native of the commune of Scionzier in the Haute-Savoie department.
-
C.
Lyonel
Lyonel is a masculine given name most notably borne by the German-American painter and caricaturist Lyonel Feininger.
-
D.
Gozzano
Gozzano is a small Italian town in the Piedmont region, known as a lakeside community near the southern end of Lake Orta.
-
E.
Modesto C. Rolland
Modesto C. Rolland was a Mexican architect and engineer known for designing prominent sports facilities, including major football stadiums in Mexico.
- 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4ebe8048190a2935d00c9cfd8be |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde170d4a0819087caeacf39f95954 |
completed | May 8, 2026, 1:13 p.m. |
Created at: April 10, 2026, 1:26 a.m.