Triple
T16314691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nice metropolitan area |
E396143
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Gattières |
E362750
|
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: Gattières | Statement: [Nice metropolitan area, contains, Gattières]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gattières Context triple: [Nice metropolitan area, contains, Gattières]
-
A.
Gattières
chosen
Gattières is a small commune in southeastern France, situated in the Alpes-Maritimes department near Nice on the French Riviera.
-
B.
Saucats
Saucats is a commune in southwestern France’s Gironde department, known for its vineyards and location within the prestigious Pessac-Léognan wine-growing area.
-
C.
Cigales
Cigales is a small town in the province of Valladolid, Spain, known historically as a royal residence and for its wine production.
-
D.
Catinat
Catinat is a French surname most notably borne by Nicolas Catinat, a prominent 17th-century marshal of France.
-
E.
Cagne
The Cagne is a small coastal river in southeastern France that flows through the town of Cagnes-sur-Mer into the Mediterranean Sea.
- 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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e288de57cc81908cec93309347c385 |
completed | April 17, 2026, 7:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001fa88e8c8190b0423b60389896dc |
completed | May 10, 2026, 6:03 a.m. |
Created at: April 10, 2026, 5:06 a.m.