Triple
T16837597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Communauté d'agglomération de l'Ernée |
E409322
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Ernée |
E1138566
|
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: Ernée | Statement: [Communauté d'agglomération de l'Ernée, namedAfter, Ernée]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ernée Context triple: [Communauté d'agglomération de l'Ernée, namedAfter, Ernée]
-
A.
Ernée
chosen
Ernée is a small commune in northwestern France, located in the Mayenne department in the Pays de la Loire region.
-
B.
Gonnesa
Gonnesa is a coastal town and municipality in southwestern Sardinia, Italy, known for its mining history and nearby beaches.
-
C.
Freneuse
Freneuse is a commune in northern France that forms part of the greater Rouen metropolitan area in the Normandy region.
-
D.
Isloise
Isloise is the French demonym for a female inhabitant of the commune of L’Isle-en-Dodon in southwestern France.
-
E.
Mauraine
Mauraine is a given name, likely a variant or elaboration of the name Maura.
- 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_69d883952b048190887740a980b712ed |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b34e080c8190bf7a236205b41db2 |
completed | April 18, 2026, 4:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c79e86ac8190b89c4ebb05250b4f |
completed | May 10, 2026, 5:59 p.m. |
Created at: April 10, 2026, 5:23 a.m.