Triple
T13413577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mont-Saint-Aignan |
E320150
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object | Mont-Saint-Aignanais |
E320150
|
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: Mont-Saint-Aignanais | Statement: [Mont-Saint-Aignan, hasDemonym, Mont-Saint-Aignanais]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mont-Saint-Aignanais Context triple: [Mont-Saint-Aignan, hasDemonym, Mont-Saint-Aignanais]
-
A.
Mont-Saint-Aignan
chosen
Mont-Saint-Aignan is a commune in northern France, near Rouen in the Normandy region, known as the birthplace of legendary cyclist Jacques Anquetil.
-
B.
Montegnée
Montegnée is a district of the municipality of Saint-Nicolas in the province of Liège, Belgium.
-
C.
Ermontoise
Ermontoise is the French demonym referring to a female inhabitant or native of the town of Ermont in France.
-
D.
Crest de Saint-Amand
Crest de Saint-Amand is a notable rock climbing sector in the Dentelles de Montmirail range in southeastern France, known for its limestone ridges and varied sport routes.
-
E.
Assencières
Assencières is a small commune in the Aube department of north-central France.
- 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_69d806b943cc8190b6af624d385d7e12 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaeb556948190af008c88e5bbf051 |
completed | April 12, 2026, 2:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7307e9b5881908eb2cd9e4fa7c5f2 |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 9, 2026, 9:35 p.m.