Triple
T17799743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Merzig-Wadern district |
E444389
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Sankt Wendel district |
—
|
NE NERFINISHED |
How this triple was built (3 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: Sankt Wendel district | Statement: [Merzig-Wadern district, borders, Sankt Wendel district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sankt Wendel district Context triple: [Merzig-Wadern district, borders, Sankt Wendel district]
-
A.
Neunkirchen District
Neunkirchen District is an administrative district in the Austrian state of Lower Austria, known for its mix of small towns, rural landscapes, and proximity to the Rax-Schneeberg mountain region.
-
B.
Waldeck-Frankenberg district
Waldeck-Frankenberg district is a rural administrative district in northern Hesse, Germany, known for its reservoirs, natural landscapes, and historic towns.
-
C.
Breitenrain-Lorraine district
The Breitenrain-Lorraine district is a residential and commercial quarter of the Swiss city of Bern, known for its dense urban fabric, local shops, and proximity to the historic city center.
-
D.
Cochem-Zell district
Cochem-Zell district is a rural administrative district in the state of Rhineland-Palatinate in western Germany, known for its Moselle River landscapes, vineyards, and historic towns.
-
E.
Oggersheim district
Oggersheim district is an urban district of Ludwigshafen am Rhein in Rhineland-Palatinate, Germany, known for its residential areas and historical sites.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sankt Wendel district Target entity description: Sankt Wendel district is a rural administrative district in the northern part of the German state of Saarland, known for its small towns, rolling landscapes, and historical sites.
-
A.
Neunkirchen District
Neunkirchen District is an administrative district in the Austrian state of Lower Austria, known for its mix of small towns, rural landscapes, and proximity to the Rax-Schneeberg mountain region.
-
B.
Waldeck-Frankenberg district
Waldeck-Frankenberg district is a rural administrative district in northern Hesse, Germany, known for its reservoirs, natural landscapes, and historic towns.
-
C.
Breitenrain-Lorraine district
The Breitenrain-Lorraine district is a residential and commercial quarter of the Swiss city of Bern, known for its dense urban fabric, local shops, and proximity to the historic city center.
-
D.
Cochem-Zell district
Cochem-Zell district is a rural administrative district in the state of Rhineland-Palatinate in western Germany, known for its Moselle River landscapes, vineyards, and historic towns.
-
E.
Oggersheim district
Oggersheim district is an urban district of Ludwigshafen am Rhein in Rhineland-Palatinate, Germany, known for its residential areas and historical sites.
- F. None of above. chosen
Provenance (2 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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e487fe19dc8190b7e9dc96f39e0861 |
completed | April 19, 2026, 7:45 a.m. |
Created at: April 10, 2026, 10:13 a.m.