Triple
T11534698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trois-Ponts |
E273515
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Wanne-Atlas
Wanne-Atlas is a locality or subdivision within the municipality of Trois-Ponts in the province of Liège, Belgium.
|
E931299
|
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: Wanne-Atlas | Statement: [Trois-Ponts, hasSubdivision, Wanne-Atlas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wanne-Atlas Context triple: [Trois-Ponts, hasSubdivision, Wanne-Atlas]
-
A.
Hagen Mountains
The Hagen Mountains are a rugged limestone mountain range in the Northern Limestone Alps of Austria, forming part of the Berchtesgaden Alps near the Salzach River.
-
B.
Knüllgebirge
Knüllgebirge is a low mountain range in central Germany known for its forested hills, rural landscapes, and outdoor recreation opportunities.
-
C.
Anti-Atlas mountains
The Anti-Atlas mountains are a rugged mountain range in southern Morocco forming part of the Atlas system and known for their arid landscapes, ancient geology, and traditional Berber communities.
-
D.
Berge
Berge is a Norwegian surname most notably borne by politician Gunnar Berge.
-
E.
Taunus Mountains
The Taunus Mountains are a low mountain range in central Germany known for their forested hills, spa towns, and proximity to the Rhine-Main metropolitan region.
- 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: Wanne-Atlas Triple: [Trois-Ponts, hasSubdivision, Wanne-Atlas]
Generated description
Wanne-Atlas is a locality or subdivision within the municipality of Trois-Ponts in the province of Liège, Belgium.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wanne-Atlas Target entity description: Wanne-Atlas is a locality or subdivision within the municipality of Trois-Ponts in the province of Liège, Belgium.
-
A.
Hagen Mountains
The Hagen Mountains are a rugged limestone mountain range in the Northern Limestone Alps of Austria, forming part of the Berchtesgaden Alps near the Salzach River.
-
B.
Knüllgebirge
Knüllgebirge is a low mountain range in central Germany known for its forested hills, rural landscapes, and outdoor recreation opportunities.
-
C.
Anti-Atlas mountains
The Anti-Atlas mountains are a rugged mountain range in southern Morocco forming part of the Atlas system and known for their arid landscapes, ancient geology, and traditional Berber communities.
-
D.
Berge
Berge is a Norwegian surname most notably borne by politician Gunnar Berge.
-
E.
Taunus Mountains
The Taunus Mountains are a low mountain range in central Germany known for their forested hills, spa towns, and proximity to the Rhine-Main metropolitan region.
- 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_69d6aae3fbec8190a14632a5df2538b6 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8839b4bb48190b748ec4119f36c11 |
completed | April 10, 2026, 4:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6858af0d081909078d5862ec3d469 |
completed | April 20, 2026, 7:59 p.m. |
| NEDg | Description generation | batch_69e68fd8210c8190a7b0bbd8a50ff6b1 |
completed | April 20, 2026, 8:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e69f12cfcc8190a06e0922c9faa49e |
completed | April 20, 2026, 9:48 p.m. |
Created at: April 8, 2026, 9:37 p.m.