Triple
T6713007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kerpen |
E153193
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Balkhausen
Balkhausen is a district within the town of Kerpen in North Rhine-Westphalia, Germany.
|
E613492
|
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: Balkhausen | Statement: [Kerpen, hasSubdivision, Balkhausen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Balkhausen Context triple: [Kerpen, hasSubdivision, Balkhausen]
-
A.
Kropinski
Kropinski is a surname most notably associated with South African-born actress Kasha Kropinski.
-
B.
Kienbaum
Kienbaum is a small village in the municipality of Grünheide (Mark) in Brandenburg, Germany, known in part for its nearby national Olympic training center.
-
C.
Suhre
The Suhre is a river in Switzerland that flows through the cantons of Lucerne and Aargau before joining the Aare.
-
D.
Böhme
The Böhme is a river in Lower Saxony, Germany, known for flowing through the Lüneburg Heath region before joining the Aller.
-
E.
Mahlberg
Mahlberg is a small town and municipality in the Ortenau district of Baden-Württemberg in southwestern Germany.
- 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: Balkhausen Triple: [Kerpen, hasSubdivision, Balkhausen]
Generated description
Balkhausen is a district within the town of Kerpen in North Rhine-Westphalia, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Balkhausen Target entity description: Balkhausen is a district within the town of Kerpen in North Rhine-Westphalia, Germany.
-
A.
Kropinski
Kropinski is a surname most notably associated with South African-born actress Kasha Kropinski.
-
B.
Kienbaum
Kienbaum is a small village in the municipality of Grünheide (Mark) in Brandenburg, Germany, known in part for its nearby national Olympic training center.
-
C.
Suhre
The Suhre is a river in Switzerland that flows through the cantons of Lucerne and Aargau before joining the Aare.
-
D.
Böhme
The Böhme is a river in Lower Saxony, Germany, known for flowing through the Lüneburg Heath region before joining the Aller.
-
E.
Mahlberg
Mahlberg is a small town and municipality in the Ortenau district of Baden-Württemberg in southwestern Germany.
- 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_69c68809b4608190a2509ddb5ab87f05 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d121a92c8190a03f384a8aba84da |
completed | March 27, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c700948788819087f9b466be337286 |
completed | March 27, 2026, 10:11 p.m. |
| NEDg | Description generation | batch_69c703ad7e0c81908da32c96806f3b07 |
completed | March 27, 2026, 10:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7042f23408190b06faafcb3251276 |
completed | March 27, 2026, 10:26 p.m. |
Created at: March 27, 2026, 2:07 p.m.