Triple
T12134509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Korbach |
E289018
|
entity |
| Predicate | capitalOf |
P204
|
FINISHED |
| Object | Waldeck-Frankenberg |
E806248
|
NE FINISHED |
How this triple was built (2 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: Waldeck-Frankenberg | Statement: [Korbach, capitalOf, Waldeck-Frankenberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waldeck-Frankenberg Context triple: [Korbach, capitalOf, Waldeck-Frankenberg]
-
A.
Waldeck-Frankenberg
chosen
Waldeck-Frankenberg is a rural district in northern Hesse, Germany, known for its scenic landscapes, forests, and small historic towns.
-
B.
Fürstenau
Fürstenau is a small town in Lower Saxony, Germany, known for its historic center and location within the Osnabrück region.
-
C.
Fürstenau
Fürstenau is a village and district within the town of Höxter in North Rhine-Westphalia, Germany.
-
D.
Birkenfeld
Birkenfeld is a town in western Germany historically associated with the Palatine counts, including Christian I of Birkenfeld-Zweibrücken.
-
E.
Luxenberg
Luxenberg is an alternative spelling or variant form of the name "Luxemburg," which can refer to the European country Luxembourg or the surname of notable individuals such as revolutionary Rosa Luxemburg.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9158c59e0819094d4522a107482b2 |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63458b22c8190b2a7d4a9cd25dfe1 |
completed | May 2, 2026, 5:28 p.m. |
Created at: April 8, 2026, 9:49 p.m.