Triple
T6318623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Métropole Nice Côte d’Azur |
E141678
|
entity |
| Predicate | includesMunicipality |
P14658
|
FINISHED |
| Object | La Gaude |
E362743
|
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: La Gaude | Statement: [Métropole Nice Côte d’Azur, includesMunicipality, La Gaude]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Gaude Context triple: [Métropole Nice Côte d’Azur, includesMunicipality, La Gaude]
-
A.
La Gaude
chosen
La Gaude is a small picturesque commune in southeastern France, situated in the hills above the French Riviera near Nice.
-
B.
Gironella
Gironella is a small municipality in Catalonia, Spain, known for its historic textile industry and location along the Llobregat River.
-
C.
Le Boulou
Le Boulou is a small spa town in the Vallespir region of southern France, known for its thermal springs and proximity to the Pyrenees and the Spanish border.
-
D.
Manresa
Manresa is a historic city in Catalonia, Spain, known for its medieval architecture and significance as a religious and commercial center in the region.
-
E.
El Born
El Born is a historic and trendy neighborhood in Barcelona known for its medieval streets, vibrant nightlife, boutiques, and cultural landmarks like the Picasso Museum and Santa Maria del Mar.
- 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_69c008d13b8c8190be47d896eb735605 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064c38fe48190a71a4e5e1af19b10 |
completed | March 22, 2026, 9:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e47ecea08190828af72d30d69a8c |
completed | March 27, 2026, 1:59 a.m. |
Created at: March 22, 2026, 4:29 p.m.