Triple
T16799956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saxon Ore Mountain mining region |
E408328
|
entity |
| Predicate | hasImportantTown |
P14082
|
FINISHED |
| Object |
Zwönitz
Zwönitz is a historic small town in Saxony, Germany, known for its traditional mining heritage in the Ore Mountains region.
|
E1243848
|
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: Zwönitz | Statement: [Saxon Ore Mountain mining region, hasImportantTown, Zwönitz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zwönitz Context triple: [Saxon Ore Mountain mining region, hasImportantTown, Zwönitz]
-
A.
Zwönitz
Zwönitz is a river in Saxony, Germany, that serves as one of the headstreams of the Chemnitz River.
-
B.
Kühnitzsch
Kühnitzsch is a village-level subdivision of the town of Wurzen in the German state of Saxony.
-
C.
Wülknitz
Wülknitz is a small municipality in the German state of Saxony that forms part of the broader Leipzig metropolitan area.
-
D.
Wanzleben
Wanzleben is a small town in the German state of Saxony-Anhalt, historically part of the former East German administrative district of Magdeburg.
-
E.
Brünnlitz
Brünnlitz is a village in the Czech Republic best known as the location of Oskar Schindler’s wartime factory where he employed and saved Jewish workers during the Holocaust.
- 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: Zwönitz Triple: [Saxon Ore Mountain mining region, hasImportantTown, Zwönitz]
Generated description
Zwönitz is a historic small town in Saxony, Germany, known for its traditional mining heritage in the Ore Mountains region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zwönitz Target entity description: Zwönitz is a historic small town in Saxony, Germany, known for its traditional mining heritage in the Ore Mountains region.
-
A.
Zwönitz
Zwönitz is a river in Saxony, Germany, that serves as one of the headstreams of the Chemnitz River.
-
B.
Kühnitzsch
Kühnitzsch is a village-level subdivision of the town of Wurzen in the German state of Saxony.
-
C.
Wülknitz
Wülknitz is a small municipality in the German state of Saxony that forms part of the broader Leipzig metropolitan area.
-
D.
Wanzleben
Wanzleben is a small town in the German state of Saxony-Anhalt, historically part of the former East German administrative district of Magdeburg.
-
E.
Brünnlitz
Brünnlitz is a village in the Czech Republic best known as the location of Oskar Schindler’s wartime factory where he employed and saved Jewish workers during the Holocaust.
- 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_69d88393905081908d00a86b99996ac8 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b2acd3548190a5f6ce7d1cf74117 |
completed | April 18, 2026, 4:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dbf92b148190825778809bc4aac2 |
completed | May 10, 2026, 7:26 p.m. |
| NEDg | Description generation | batch_6a00dc96a9588190b020fd7fd1deee2b |
completed | May 10, 2026, 7:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0114e04e00819093805024f8417fad |
completed | May 10, 2026, 11:29 p.m. |
Created at: April 10, 2026, 5:22 a.m.