Triple
T15250643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meissen district |
E364508
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object | Wülknitz |
E1035716
|
NE FINISHED |
How this triple was built (2 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: [Meissen district, containsMunicipality, Wülknitz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wülknitz Context triple: [Meissen district, containsMunicipality, Wülknitz]
-
A.
Wülknitz
chosen
Wülknitz is a small municipality in the German state of Saxony that forms part of the broader Leipzig metropolitan area.
-
B.
Wanzleben
Wanzleben is a small town in the German state of Saxony-Anhalt, historically part of the former East German administrative district of Magdeburg.
-
C.
Zwönitz
Zwönitz is a river in Saxony, Germany, that serves as one of the headstreams of the Chemnitz River.
-
D.
Ückeritz
Ückeritz is a seaside village and holiday resort on the island of Usedom in northeastern Germany, known for its beaches and natural surroundings.
-
E.
Crimmitschau
Crimmitschau is a town in the German state of Saxony, historically known for its textile industry and located within the broader Leipzig metropolitan area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007f62b9c8190b9ad40e2d1912b63 |
completed | April 15, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff755e0f2c819088293d8a55d7883a |
completed | May 9, 2026, 5:56 p.m. |
Created at: April 10, 2026, 3:13 a.m.