Triple
T15482032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sébé River |
E376941
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object |
Sébé (French)
Sébé (French) is the French name for the Sébé River, a watercourse in Central Africa.
|
E1159545
|
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: Sébé (French) | Statement: [Sébé River, hasNameInLanguage, Sébé (French)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sébé (French) Context triple: [Sébé River, hasNameInLanguage, Sébé (French)]
-
A.
Lez (French)
Lez (French) is the French name of the Lez River, a watercourse in southern France that flows through the city of Montpellier before reaching the Mediterranean Sea.
-
B.
Sebastiannaise
Sebastiannaise is the French demonym referring to a female inhabitant of the town of Saint-Sébastien-sur-Loire in western France.
-
C.
Thielle (French)
Thielle is the French name for the Zihl, a river and canal system in western Switzerland connecting Lakes Neuchâtel and Biel.
-
D.
Frenchie
Frenchie is a resourceful and eccentric member of the vigilante group in the TV series "The Boys," known for his combat skills, improvisational tactics, and complex moral compass.
-
E.
FRENCH SUN
FRENCH SUN is the airline callsign used by the French low-cost carrier Transavia France for its flight operations.
- 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: Sébé (French) Triple: [Sébé River, hasNameInLanguage, Sébé (French)]
Generated description
Sébé (French) is the French name for the Sébé River, a watercourse in Central Africa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sébé (French) Target entity description: Sébé (French) is the French name for the Sébé River, a watercourse in Central Africa.
-
A.
Lez (French)
Lez (French) is the French name of the Lez River, a watercourse in southern France that flows through the city of Montpellier before reaching the Mediterranean Sea.
-
B.
Sebastiannaise
Sebastiannaise is the French demonym referring to a female inhabitant of the town of Saint-Sébastien-sur-Loire in western France.
-
C.
Thielle (French)
Thielle is the French name for the Zihl, a river and canal system in western Switzerland connecting Lakes Neuchâtel and Biel.
-
D.
Frenchie
Frenchie is a resourceful and eccentric member of the vigilante group in the TV series "The Boys," known for his combat skills, improvisational tactics, and complex moral compass.
-
E.
FRENCH SUN
FRENCH SUN is the airline callsign used by the French low-cost carrier Transavia France for its flight operations.
- 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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f8cb4388190a3b4c92c3bb4ad4f |
completed | April 16, 2026, 1:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2d0d6ef0819091623de2888a7101 |
completed | May 9, 2026, 12:48 p.m. |
| NEDg | Description generation | batch_69ff302422488190aa70a6d6e07feea6 |
completed | May 9, 2026, 1:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff313c2a208190b25a3cebf2d742f5 |
completed | May 9, 2026, 1:06 p.m. |
Created at: April 10, 2026, 3:34 a.m.