Triple
T21067183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ferrières Abbey |
E519007
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Gâtinais |
—
|
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: Gâtinais | Statement: [Ferrières Abbey, locatedIn, Gâtinais]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gâtinais Context triple: [Ferrières Abbey, locatedIn, Gâtinais]
-
A.
Gâtinais region
chosen
The Gâtinais region is a historic natural and agricultural area in north-central France, known for its forests, sandy plains, and traditional rural landscapes south of Paris.
-
B.
Touraine
Touraine is a historic region in central France, famed for its Loire Valley châteaux, wine production, and role as a former royal heartland.
-
C.
Saintonge
Saintonge is a historic coastal region in western France, centered around the town of Saintes and known for its Romanesque heritage and early production of cognac.
-
D.
Dombes
Dombes is a historic rural region in eastern France known for its many ponds, wetlands, and traditional fish farming.
-
E.
Brionnais
Brionnais is a historic rural region in eastern France known for its Romanesque churches, traditional stone villages, and Charolais cattle farming.
- 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_69e0b505ef108190b25dd4033e2ff7eb |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6feb5772481909e32af3b3a69df76 |
completed | April 21, 2026, 4:36 a.m. |
Created at: April 16, 2026, 2:45 p.m.