Triple
T12877896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leipzig metropolitan region |
E308012
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Wülknitz
Wülknitz is a small municipality in the German state of Saxony that forms part of the broader Leipzig metropolitan area.
|
E1035716
|
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: Wülknitz | Statement: [Leipzig metropolitan region, containsCity, Wülknitz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wülknitz Context triple: [Leipzig metropolitan region, containsCity, Wülknitz]
-
A.
Wanzleben
Wanzleben is a small town in the German state of Saxony-Anhalt, historically part of the former East German administrative district of Magdeburg.
-
B.
Zwönitz
Zwönitz is a river in Saxony, Germany, that serves as one of the headstreams of the Chemnitz River.
-
C.
Ückeritz
Ückeritz is a seaside village and holiday resort on the island of Usedom in northeastern Germany, known for its beaches and natural surroundings.
-
D.
Gieselau
Gieselau is a small river in northern Germany that serves as a tributary of the Eider.
-
E.
Grömitz
Grömitz is a Baltic Sea resort town in northern Germany known for its long sandy beaches and seaside tourism.
- 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: Wülknitz Triple: [Leipzig metropolitan region, containsCity, Wülknitz]
Generated description
Wülknitz is a small municipality in the German state of Saxony that forms part of the broader Leipzig metropolitan area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wülknitz Target entity description: Wülknitz is a small municipality in the German state of Saxony that forms part of the broader Leipzig metropolitan area.
-
A.
Wanzleben
Wanzleben is a small town in the German state of Saxony-Anhalt, historically part of the former East German administrative district of Magdeburg.
-
B.
Zwönitz
Zwönitz is a river in Saxony, Germany, that serves as one of the headstreams of the Chemnitz River.
-
C.
Ückeritz
Ückeritz is a seaside village and holiday resort on the island of Usedom in northeastern Germany, known for its beaches and natural surroundings.
-
D.
Gieselau
Gieselau is a small river in northern Germany that serves as a tributary of the Eider.
-
E.
Grömitz
Grömitz is a Baltic Sea resort town in northern Germany known for its long sandy beaches and seaside tourism.
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d970fa8474819086a8af3c90f3ca84 |
completed | April 10, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f0c11f88190b0f0fa1d0ec74a8d |
completed | May 3, 2026, 10:10 a.m. |
| NEDg | Description generation | batch_69f721b1a5d88190b9075437c7ab81a5 |
completed | May 3, 2026, 10:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f72262ede4819095b3dc4c7cd63450 |
completed | May 3, 2026, 10:24 a.m. |
Created at: April 9, 2026, 5:38 p.m.