Triple
T10179768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fontainebleau Forest |
E235954
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Gâtinais region |
E576997
|
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: Gâtinais region | Statement: [Fontainebleau Forest, partOf, Gâtinais region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gâtinais region Context triple: [Fontainebleau Forest, partOf, Gâtinais region]
-
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.
Marmande region
The Marmande region is an agricultural area in southwestern France, renowned for its tomato production and situated along the Garonne River.
-
C.
Touraine
Touraine is a historic region in central France, famed for its Loire Valley châteaux, wine production, and role as a former royal heartland.
-
D.
Maine-et-Loire
Maine-et-Loire is a department in western France known for its historic towns, châteaux, and vineyards along the Loire River.
-
E.
Angoulême region
The Angoulême region is a historic area in southwestern France centered on the city of Angoulême, known for its medieval heritage and cultural significance.
- 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_69ca84d1d5f88190ab878a1021ecff68 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdecd7ed608190bfdec8b61cc99205 |
completed | April 2, 2026, 4:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d301373a008190b8d39a8db4167e4f |
completed | April 6, 2026, 12:41 a.m. |
Created at: March 30, 2026, 9:11 p.m.