Triple
T21350598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doué-en-Anjou |
E526465
|
entity |
| Predicate | formedByMergerOf |
P77
|
FINISHED |
| Object | Doué-la-Fontaine |
—
|
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: Doué-la-Fontaine | Statement: [Doué-en-Anjou, formedByMergerOf, Doué-la-Fontaine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doué-la-Fontaine Context triple: [Doué-en-Anjou, formedByMergerOf, Doué-la-Fontaine]
-
A.
Villefontaine
Villefontaine is a commune in the Isère department of southeastern France, known as a suburban town within the Grenoble urban area.
-
B.
Villedieu-le-Château
Villedieu-le-Château is a small rural commune in the Loir-et-Cher department of central France.
-
C.
Vernouillet
Vernouillet is a commune in northern France located in the Eure-et-Loir department in the Centre-Val de Loire region.
-
D.
Celles-sur-Durolle
Celles-sur-Durolle is a commune in central France’s Puy-de-Dôme department, known historically for its cutlery and metalworking industries along the Durolle River.
-
E.
Doué-en-Anjou
chosen
Doué-en-Anjou is a commune in western France known for its troglodyte dwellings and wine production in the Maine-et-Loire department of the Pays de la Loire region.
- 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_69e0b51cd5cc81909ac1187971e8a8ad |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8ad31087481909d41e9d28286f04d |
completed | April 22, 2026, 11:12 a.m. |
Created at: April 16, 2026, 5:04 p.m.