Triple
T16201039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ancenis-Saint-Géréon |
E393198
|
entity |
| Predicate | formedByMergerOf |
P77
|
FINISHED |
| Object | Ancenis |
E393198
|
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: Ancenis | Statement: [Ancenis-Saint-Géréon, formedByMergerOf, Ancenis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ancenis Context triple: [Ancenis-Saint-Géréon, formedByMergerOf, Ancenis]
-
A.
Casserres
Casserres is a municipality in the comarca of Berguedà in Catalonia, northeastern Spain.
-
B.
Évron
Évron is a small commune in northwestern France known for its historic abbey and rural setting within the Mayenne department.
-
C.
Ancenis-Saint-Géréon
chosen
Ancenis-Saint-Géréon is a commune in western France situated on the Loire River, known as a local economic and transport hub between Nantes and Angers.
-
D.
Souillac
Souillac is a picturesque town in southwestern France known for its historic architecture and scenic setting along the Dordogne River.
-
E.
Secane
Secane is an unincorporated community and residential neighborhood in Delaware County, Pennsylvania, known for its commuter rail station and suburban character.
- 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2270aa7f08190ab37aa9ff46816fc |
completed | April 17, 2026, 12:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffff130bcc8190a965d90e123d2dd9 |
completed | May 10, 2026, 3:44 a.m. |
Created at: April 10, 2026, 5:03 a.m.