Triple
T19463380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Claude Le Roy |
E486930
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Quimperlé |
—
|
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: Quimperlé | Statement: [Claude Le Roy, placeOfBirth, Quimperlé]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quimperlé Context triple: [Claude Le Roy, placeOfBirth, Quimperlé]
-
A.
Quimperlé
chosen
Quimperlé is a historic town in the Finistère department of Brittany in northwestern France, known for its medieval architecture and picturesque setting at the confluence of three rivers.
-
B.
Hennebont
Hennebont is a historic town in the Morbihan department of Brittany in northwestern France, known for its medieval ramparts and cultural heritage.
-
C.
Plouasne
Plouasne is a rural commune in the Côtes-d'Armor department of Brittany in northwestern France.
-
D.
Guerzé
The Guerzé are an ethnic group primarily inhabiting southeastern Guinea, known for their distinct language, cultural traditions, and presence in the forested Nzérékoré area.
-
E.
Quimper
Quimper is a historic city in western France known for its medieval old town, Gothic cathedral, and traditional Breton culture.
- 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633cf95988190b13b2153e67d0cac |
completed | April 20, 2026, 2:10 p.m. |
Created at: April 10, 2026, 1:38 p.m.