Triple
T23384626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Landkreis Güstrow |
E593842
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Bützow
Bützow is a small historic town in the German state of Mecklenburg-Vorpommern, known for its medieval architecture and former episcopal castle.
|
E1583140
|
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: Bützow | Statement: [Landkreis Güstrow, hasSettlement, Bützow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bützow Context triple: [Landkreis Güstrow, hasSettlement, Bützow]
-
A.
Bannewitz
Bannewitz is a municipality in the Free State of Saxony in eastern Germany, located just south of the city of Dresden.
-
B.
Gröditz
Gröditz is a small industrial town in the German state of Saxony, known historically for its steel production.
-
C.
Pölbitz
Pölbitz is a district within the city of Zwickau in the Free State of Saxony, Germany.
-
D.
Zeuthen
Zeuthen is a municipality in Brandenburg, Germany, known for hosting a major campus of the DESY particle physics research center.
-
E.
Bockau
Bockau is a small town in the Ore Mountains of Saxony, Germany, historically shaped by mining and traditional industries.
- 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: Bützow Triple: [Landkreis Güstrow, hasSettlement, Bützow]
Generated description
Bützow is a small historic town in the German state of Mecklenburg-Vorpommern, known for its medieval architecture and former episcopal castle.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bützow Target entity description: Bützow is a small historic town in the German state of Mecklenburg-Vorpommern, known for its medieval architecture and former episcopal castle.
-
A.
Bannewitz
Bannewitz is a municipality in the Free State of Saxony in eastern Germany, located just south of the city of Dresden.
-
B.
Gröditz
Gröditz is a small industrial town in the German state of Saxony, known historically for its steel production.
-
C.
Pölbitz
Pölbitz is a district within the city of Zwickau in the Free State of Saxony, Germany.
-
D.
Zeuthen
Zeuthen is a municipality in Brandenburg, Germany, known for hosting a major campus of the DESY particle physics research center.
-
E.
Bockau
Bockau is a small town in the Ore Mountains of Saxony, Germany, historically shaped by mining and traditional industries.
- 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_69e25d2754fc819085deea939bde60ab |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a497661c8190b52fa27419594989 |
completed | April 29, 2026, 6:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c5de7b5e081908f965d84cb11ed9d |
completed | May 19, 2026, 12:56 p.m. |
| NEDg | Description generation | batch_6a0c6086e718819093bbd0f3431739cf |
completed | May 19, 2026, 1:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c60f685c881909ef5c259da2e661b |
completed | May 19, 2026, 1:09 p.m. |
Created at: April 17, 2026, 5:35 p.m.