Triple
T15180686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sospel |
E362734
|
entity |
| Predicate | river |
P165
|
FINISHED |
| Object |
Bévéra
Bévéra is a river in southeastern France and northwestern Italy that flows through the Alpes-Maritimes before joining the Roya.
|
E1141472
|
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: Bévéra | Statement: [Sospel, river, Bévéra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bévéra Context triple: [Sospel, river, Bévéra]
-
A.
Pévèle
Pévèle is a rural area in northern France known for its gently rolling farmland, small towns, and role as a traditional cobbled sector in the Paris–Roubaix cycling race.
-
B.
Bevercé
Bevercé is a village in the municipality of Malmedy in the province of Liège, in the French-speaking Walloon region of Belgium.
-
C.
Vereya
Vereya is a small historic town in Russia that was once part of the former Moscow Governorate.
-
D.
Myrtha
Myrtha is the powerful and vengeful Queen of the Wilis in the Romantic ballet "Giselle."
-
E.
Bebra
Bebra is a small settlement located in the historical region of Westphalia in western Germany.
- 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: Bévéra Triple: [Sospel, river, Bévéra]
Generated description
Bévéra is a river in southeastern France and northwestern Italy that flows through the Alpes-Maritimes before joining the Roya.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bévéra Target entity description: Bévéra is a river in southeastern France and northwestern Italy that flows through the Alpes-Maritimes before joining the Roya.
-
A.
Pévèle
Pévèle is a rural area in northern France known for its gently rolling farmland, small towns, and role as a traditional cobbled sector in the Paris–Roubaix cycling race.
-
B.
Bevercé
Bevercé is a village in the municipality of Malmedy in the province of Liège, in the French-speaking Walloon region of Belgium.
-
C.
Vereya
Vereya is a small historic town in Russia that was once part of the former Moscow Governorate.
-
D.
Myrtha
Myrtha is the powerful and vengeful Queen of the Wilis in the Romantic ballet "Giselle."
-
E.
Bebra
Bebra is a small settlement located in the historical region of Westphalia in western Germany.
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00664caac81909bee1268264769f8 |
completed | April 15, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec89210e081909e8077fa2487c40e |
completed | May 9, 2026, 5:39 a.m. |
| NEDg | Description generation | batch_69fec998bd908190a14574b9e08cab4a |
completed | May 9, 2026, 5:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feca58c02081909b8ee4066297e194 |
completed | May 9, 2026, 5:47 a.m. |
Created at: April 10, 2026, 3:09 a.m.