Triple
T23008566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sologne |
E572844
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Romorantin-Lanthenay |
—
|
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: Romorantin-Lanthenay | Statement: [Sologne, contains, Romorantin-Lanthenay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Romorantin-Lanthenay Context triple: [Sologne, contains, Romorantin-Lanthenay]
-
A.
Romorantin-Lanthenay
chosen
Romorantin-Lanthenay is a commune in central France known as a historic town in the Loir-et-Cher department and a gateway to the Sologne region.
-
B.
Douaumont
Douaumont is a small commune in northeastern France best known for its World War I battlefield sites near Verdun, including major memorials and military cemeteries.
-
C.
Montgeroult
Montgeroult is a small commune in the Val-d'Oise department in northern France, known for its rural character and historic village setting.
-
D.
Montbazon
Montbazon is a small commune in central France’s Indre-et-Loire department, known for its historic fortress and picturesque setting along the Indre River.
-
E.
Villeneuve-le-Comte
Villeneuve-le-Comte is a commune in the Seine-et-Marne department in the Île-de-France region of north-central France.
- 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_69e245b764cc8190a51be76f1d9611e1 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1835919b08190ba78e182b87358d4 |
completed | April 29, 2026, 4:04 a.m. |
Created at: April 17, 2026, 3:51 p.m.