Triple
T6318646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Métropole Nice Côte d’Azur |
E141678
|
entity |
| Predicate | includesMunicipality |
P14658
|
FINISHED |
| Object | Valdeblore |
E362732
|
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: Valdeblore | Statement: [Métropole Nice Côte d’Azur, includesMunicipality, Valdeblore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valdeblore Context triple: [Métropole Nice Côte d’Azur, includesMunicipality, Valdeblore]
-
A.
Valdeblore
chosen
Valdeblore is a mountain commune in southeastern France known for its ski resort La Colmiane and its location in the southern Alps near the Mercantour National Park.
-
B.
Vesoul
Vesoul is a commune in eastern France that serves as the administrative center (prefecture) of the Haute-Saône department.
-
C.
Crevel
Crevel is a vain, wealthy former perfumer and libertine in Honoré de Balzac’s novel "La Cousine Bette," emblematic of the corrupt bourgeois society he satirizes.
-
D.
Taverny
Taverny is a suburban commune in the northwestern outskirts of Paris, located in the Val-d'Oise department in northern France.
-
E.
Montgat
Montgat is a small coastal municipality in the province of Barcelona, Catalonia, known for its beaches and proximity to the city of Barcelona.
- 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_69c6040714988190abbbadb4039966ef |
completed | March 27, 2026, 4:13 a.m. |
Created at: March 22, 2026, 4:29 p.m.