Triple
T19786131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frankenberg, Hesse |
E475272
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object | district of Willersdorf |
—
|
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: district of Willersdorf | Statement: [Frankenberg, Hesse, hasSubdivision, district of Willersdorf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: district of Willersdorf Context triple: [Frankenberg, Hesse, hasSubdivision, district of Willersdorf]
-
A.
Ronsdorf district
Ronsdorf district is a borough of the German city of Wuppertal, known for its residential character and local rail connections.
-
B.
Eppendorf district
Eppendorf district is a well-known, affluent neighborhood in Hamburg, Germany, characterized by its historic architecture, green spaces, and major medical and research institutions.
-
C.
Blasewitz district
Blasewitz district is a leafy, upscale residential area of Dresden, Germany, known for its historic villas, riverside setting along the Elbe, and prominent landmarks such as the Blue Wonder bridge.
-
D.
Rummelsburg district
Rummelsburg district is a locality in the Berlin borough of Lichtenberg, known for its mix of residential areas, industrial heritage, and waterfront along the Spree River.
-
E.
Wannsee district
Wannsee district is a lakeside area in southwestern Berlin known for its popular beaches, historic villas, and recreational waterfront attractions.
- 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: district of Willersdorf Target entity description: The district of Willersdorf is a local administrative subdivision within the town of Frankenberg in the German state of Hesse.
-
A.
Ronsdorf district
Ronsdorf district is a borough of the German city of Wuppertal, known for its residential character and local rail connections.
-
B.
Eppendorf district
Eppendorf district is a well-known, affluent neighborhood in Hamburg, Germany, characterized by its historic architecture, green spaces, and major medical and research institutions.
-
C.
Blasewitz district
Blasewitz district is a leafy, upscale residential area of Dresden, Germany, known for its historic villas, riverside setting along the Elbe, and prominent landmarks such as the Blue Wonder bridge.
-
D.
Rummelsburg district
Rummelsburg district is a locality in the Berlin borough of Lichtenberg, known for its mix of residential areas, industrial heritage, and waterfront along the Spree River.
-
E.
Wannsee district
Wannsee district is a lakeside area in southwestern Berlin known for its popular beaches, historic villas, and recreational waterfront attractions.
- 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65387d3348190a31f9c2f9bc1c6d9 |
completed | April 20, 2026, 4:25 p.m. |
Created at: April 10, 2026, 1:49 p.m.