Triple
T11817249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vaux-sur-Sûre |
E281032
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Livarchamps
Livarchamps is a small village in the municipality of Vaux-sur-Sûre in the Walloon region of Belgium.
|
E954161
|
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: Livarchamps | Statement: [Vaux-sur-Sûre, hasSubdivision, Livarchamps]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Livarchamps Context triple: [Vaux-sur-Sûre, hasSubdivision, Livarchamps]
-
A.
Garmes
Garmes is a surname most notably associated with Lee Garmes, an influential American cinematographer of Hollywood’s classic era.
-
B.
Larche
Larche is a small village in the French Alps near the Italian border, known as a gateway to the surrounding mountain passes and hiking routes.
-
C.
Larche
Larche is a commune in the Corrèze department of south-central France, situated within the Brive-la-Gaillarde area.
-
D.
Arroux
Arroux is a river in central France that flows through the Burgundy region before joining the Loire.
-
E.
Charny
Charny is a French commune located in the Île-de-France region, known for its rural character within the greater Paris metropolitan area.
- 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: Livarchamps Triple: [Vaux-sur-Sûre, hasSubdivision, Livarchamps]
Generated description
Livarchamps is a small village in the municipality of Vaux-sur-Sûre in the Walloon region of Belgium.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Livarchamps Target entity description: Livarchamps is a small village in the municipality of Vaux-sur-Sûre in the Walloon region of Belgium.
-
A.
Garmes
Garmes is a surname most notably associated with Lee Garmes, an influential American cinematographer of Hollywood’s classic era.
-
B.
Larche
Larche is a small village in the French Alps near the Italian border, known as a gateway to the surrounding mountain passes and hiking routes.
-
C.
Larche
Larche is a commune in the Corrèze department of south-central France, situated within the Brive-la-Gaillarde area.
-
D.
Arroux
Arroux is a river in central France that flows through the Burgundy region before joining the Loire.
-
E.
Charny
Charny is a French commune located in the Île-de-France region, known for its rural character within the greater Paris metropolitan area.
- 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_69d6ab26aae88190b2489efcb2a24234 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5e760988190b50d13bba5ef5b43 |
completed | April 10, 2026, 7:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f43f9e99788190a5a8abb135426038 |
completed | May 1, 2026, 5:52 a.m. |
| NEDg | Description generation | batch_69f448f506a48190a0f1b89ad570fad5 |
completed | May 1, 2026, 6:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f44ad185cc8190893cf663cfed6980 |
completed | May 1, 2026, 6:40 a.m. |
Created at: April 8, 2026, 9:42 p.m.