Triple
T12158222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wurzen |
E289633
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Kühren
Kühren is a village and district of the town Wurzen in the state of Saxony, Germany.
|
E1008210
|
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: Kühren | Statement: [Wurzen, hasSubdivision, Kühren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kühren Context triple: [Wurzen, hasSubdivision, Kühren]
-
A.
Kölzig
Kölzig is the surname of former professional ice hockey goaltender Olie Kolzig, best known for his long NHL career with the Washington Capitals.
-
B.
Kreuth
Kreuth is a Bavarian municipality in southern Germany, known for its alpine landscape and location near Lake Tegernsee in the Bavarian Alps.
-
C.
Brieg
Brieg is a historic town in southwestern Poland, known today as Brzeg, that was formerly part of Germany’s Silesia region.
-
D.
Westkirchen
Westkirchen is a village and district of the town of Ennigerloh in North Rhine-Westphalia, Germany, known for its rural character and historic church-centered settlement.
-
E.
Kiliansdorf
Kiliansdorf is a village and district of the town of Roth in the Bavarian region of 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: Kühren Triple: [Wurzen, hasSubdivision, Kühren]
Generated description
Kühren is a village and district of the town Wurzen in the state of Saxony, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kühren Target entity description: Kühren is a village and district of the town Wurzen in the state of Saxony, Germany.
-
A.
Kölzig
Kölzig is the surname of former professional ice hockey goaltender Olie Kolzig, best known for his long NHL career with the Washington Capitals.
-
B.
Kreuth
Kreuth is a Bavarian municipality in southern Germany, known for its alpine landscape and location near Lake Tegernsee in the Bavarian Alps.
-
C.
Brieg
Brieg is a historic town in southwestern Poland, known today as Brzeg, that was formerly part of Germany’s Silesia region.
-
D.
Westkirchen
Westkirchen is a village and district of the town of Ennigerloh in North Rhine-Westphalia, Germany, known for its rural character and historic church-centered settlement.
-
E.
Kiliansdorf
Kiliansdorf is a village and district of the town of Roth in the Bavarian region of 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915c277e481908351bf4e664dda42 |
completed | April 10, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a531c62481908eac880e716cf55b |
completed | May 3, 2026, 1:30 a.m. |
| NEDg | Description generation | batch_69f6a6e9ad50819091169f9a1b697d7d |
completed | May 3, 2026, 1:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6a7a3c9948190bc6cee51ee66103d |
completed | May 3, 2026, 1:40 a.m. |
Created at: April 8, 2026, 9:50 p.m.