Triple
T2675064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monts Dore |
E56438
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object |
Super-Besse
Super-Besse is a French ski and mountain resort in the Massif Central known for its winter sports facilities and outdoor recreational activities.
|
E287699
|
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: Super-Besse | Statement: [Monts Dore, near, Super-Besse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Super-Besse Context triple: [Monts Dore, near, Super-Besse]
-
A.
Barbel
Barbel is a feminine given name, commonly used as a diminutive or variant of names like Barbara in German-speaking regions.
-
B.
Bube
Bube is a Bantu language spoken primarily by the Bubi people on Bioko Island in Equatorial Guinea.
-
C.
Big Bub
Big Bub is an American R&B singer and producer known for his work in the 1990s, including production contributions to Brandy’s debut album.
-
D.
Bebot
"Bebot" is a song by the Black Eyed Peas that blends hip hop with Filipino cultural themes and language.
-
E.
Superjumbo
Superjumbo is the popular nickname for the Airbus A380, the world’s largest passenger airliner known for its double-deck design and high capacity.
- 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: Super-Besse Triple: [Monts Dore, near, Super-Besse]
Generated description
Super-Besse is a French ski and mountain resort in the Massif Central known for its winter sports facilities and outdoor recreational activities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Super-Besse Target entity description: Super-Besse is a French ski and mountain resort in the Massif Central known for its winter sports facilities and outdoor recreational activities.
-
A.
Barbel
Barbel is a feminine given name, commonly used as a diminutive or variant of names like Barbara in German-speaking regions.
-
B.
Bube
Bube is a Bantu language spoken primarily by the Bubi people on Bioko Island in Equatorial Guinea.
-
C.
Big Bub
Big Bub is an American R&B singer and producer known for his work in the 1990s, including production contributions to Brandy’s debut album.
-
D.
Bebot
"Bebot" is a song by the Black Eyed Peas that blends hip hop with Filipino cultural themes and language.
-
E.
Superjumbo
Superjumbo is the popular nickname for the Airbus A380, the world’s largest passenger airliner known for its double-deck design and high capacity.
- 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_69ab4a4b13fc81909dfdb3f23da46832 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd9b3530c819093942cc985f814ef |
completed | March 7, 2026, 7:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afa0638a9c8190b48ca5aa56eb66ff |
completed | March 10, 2026, 4:38 a.m. |
| NEDg | Description generation | batch_69afa0e62fa08190bf278abfce54708d |
completed | March 10, 2026, 4:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afa1ca3b388190840e3b150468dc23 |
completed | March 10, 2026, 4:44 a.m. |
Created at: March 6, 2026, 9:54 p.m.