Triple
T16822405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toulon Provence Méditerranée |
E408925
|
entity |
| Predicate | hasMemberMunicipality |
P47323
|
FINISHED |
| Object |
Évenos
Évenos is a small commune in southeastern France, located in the Var department of the Provence-Alpes-Côte d’Azur region.
|
E1235350
|
NE FINISHED |
How this triple was built (4 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: Évenos | Statement: [Toulon Provence Méditerranée, hasMemberMunicipality, Évenos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Évenos Context triple: [Toulon Provence Méditerranée, hasMemberMunicipality, Évenos]
-
A.
Lavezares
Lavezares is a coastal municipality in the province of Northern Samar in the Philippines, known for its fishing communities and island landscapes.
-
B.
Paradou
Paradou is a small picturesque commune in southern France’s Provence region, known for its traditional stone houses and proximity to the Alpilles hills.
-
C.
Martos
Martos is a historic town in southern Spain’s Andalusia region, known for its olive oil production and hilltop setting dominated by a medieval castle.
-
D.
Vallon
Vallon is a small municipality in the canton of Fribourg in western Switzerland.
-
E.
Vallon
Vallon is the surname of Priest Vallon, a fictional Irish-American gang leader and father of Amsterdam Vallon in the film "Gangs of New York."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Évenos Triple: [Toulon Provence Méditerranée, hasMemberMunicipality, Évenos]
Generated description
Évenos is a small commune in southeastern France, located in the Var department of the Provence-Alpes-Côte d’Azur region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Évenos Target entity description: Évenos is a small commune in southeastern France, located in the Var department of the Provence-Alpes-Côte d’Azur region.
-
A.
Lavezares
Lavezares is a coastal municipality in the province of Northern Samar in the Philippines, known for its fishing communities and island landscapes.
-
B.
Paradou
Paradou is a small picturesque commune in southern France’s Provence region, known for its traditional stone houses and proximity to the Alpilles hills.
-
C.
Martos
Martos is a historic town in southern Spain’s Andalusia region, known for its olive oil production and hilltop setting dominated by a medieval castle.
-
D.
Vallon
Vallon is a small municipality in the canton of Fribourg in western Switzerland.
-
E.
Vallon
Vallon is the surname of Priest Vallon, a fictional Irish-American gang leader and father of Amsterdam Vallon in the film "Gangs of New York."
- F. None of above. chosen
Provenance (5 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_69d88394566c8190b3dcbdc72935f7fa |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b2e77ab88190be1ec8179251864e |
completed | April 18, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b29a3854819099eed580eea5d84d |
completed | May 10, 2026, 4:30 p.m. |
| NEDg | Description generation | batch_6a00b32d2a588190b59bad56f8817bce |
completed | May 10, 2026, 4:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00b3d14b3c819081f435777f47eca3 |
completed | May 10, 2026, 4:35 p.m. |
Created at: April 10, 2026, 5:23 a.m.