Triple
T20510698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint-Amand-les-Eaux |
E503549
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object | Amandinoise |
—
|
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: Amandinoise | Statement: [Saint-Amand-les-Eaux, hasDemonym, Amandinoise]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amandinoise Context triple: [Saint-Amand-les-Eaux, hasDemonym, Amandinoise]
-
A.
Amandinois
chosen
Amandinois is the French demonym for inhabitants of the town of Saint-Amand-les-Eaux in northern France.
-
B.
Cauchois
Cauchois is a regional variety of the Norman language traditionally spoken in the Pays de Caux area of Normandy, France.
-
C.
Commenailles
Commenailles is a small rural commune in the Jura department of eastern France, known for its agricultural landscape within the Bourgogne-Franche-Comté region.
-
D.
Auberjonois
Auberjonois is a surname most prominently associated with René Auberjonois, an American actor known for roles in film, television, and voice work.
-
E.
Dinan
Dinan is a historic fortified town in Brittany, northwestern France, renowned for its medieval architecture and scenic position overlooking the River Rance.
- 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_69e0b4b2aa788190ae9eb37c1d73b1f1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69dcab8248190992e6ada23e5f253 |
completed | April 20, 2026, 9:42 p.m. |
Created at: April 16, 2026, 11:36 a.m.