Triple
T18992074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Voueize |
E464709
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object |
Voueize (French)
Voueize (French) is the French name of a locality or geographical feature, likely a commune or river, in France.
|
E1353459
|
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: Voueize (French) | Statement: [Voueize, hasNameInLanguage, Voueize (French)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Voueize (French) Context triple: [Voueize, hasNameInLanguage, Voueize (French)]
-
A.
Viaur (French)
Viaur is a river in southern France, known for flowing through the Massif Central and for the notable railway viaduct that spans its valley.
-
B.
Thielle (French)
Thielle is the French name for the Zihl, a river and canal system in western Switzerland connecting Lakes Neuchâtel and Biel.
-
C.
Louis (French)
Louis is the French given name corresponding to the name Ludwik in other languages.
-
D.
Raverdinois
Raverdinois are the inhabitants or natives of the commune of Varreddes in France.
-
E.
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.
- 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: Voueize (French) Triple: [Voueize, hasNameInLanguage, Voueize (French)]
Generated description
Voueize (French) is the French name of a locality or geographical feature, likely a commune or river, in France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Voueize (French) Target entity description: Voueize (French) is the French name of a locality or geographical feature, likely a commune or river, in France.
-
A.
Viaur (French)
Viaur is a river in southern France, known for flowing through the Massif Central and for the notable railway viaduct that spans its valley.
-
B.
Thielle (French)
Thielle is the French name for the Zihl, a river and canal system in western Switzerland connecting Lakes Neuchâtel and Biel.
-
C.
Louis (French)
Louis is the French given name corresponding to the name Ludwik in other languages.
-
D.
Raverdinois
Raverdinois are the inhabitants or natives of the commune of Varreddes in France.
-
E.
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.
- 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_69d8dd01a56c81909694a128c66b21d7 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d67eedc88190bfb7b327b47db76d |
completed | April 20, 2026, 7:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05b455a9f081908df46b984b10e2fc |
completed | May 14, 2026, 11:39 a.m. |
| NEDg | Description generation | batch_6a05b5dfac0c8190b67921280d5ab1fe |
completed | May 14, 2026, 11:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05b68cf4c0819082f461b002383a3f |
completed | May 14, 2026, 11:48 a.m. |
Created at: April 10, 2026, 12:01 p.m.