Triple
T21624194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arrondissement of Nice |
E533654
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Puget-Théniers |
—
|
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: Puget-Théniers | Statement: [Arrondissement of Nice, contains, Puget-Théniers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Puget-Théniers Context triple: [Arrondissement of Nice, contains, Puget-Théniers]
-
A.
Puget-Théniers
chosen
Puget-Théniers is a small commune in southeastern France known for its picturesque setting in the Var valley and its historic Provençal village character.
-
B.
Loiseau
Loiseau is a French surname most notably borne by Gustave Loiseau, a post-Impressionist painter known for his landscapes and depictions of rural France.
-
C.
Sauvy
Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
-
D.
Mourtemeno
Mourtemeno is a small Greek island located off the coast of Syvota in the Ionian Sea, known for its clear waters and scenic coves.
-
E.
Breuillet
Breuillet is a commune in the Essonne department in the Île-de-France region of northern 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_69e0c464fba881908d0ff2ac80511ce1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef521125f481909ccfc95d884976e2 |
completed | April 27, 2026, 12:09 p.m. |
Created at: April 16, 2026, 6:34 p.m.