Triple
T15864482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zwickau district |
E384673
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Limbach-Oberfrohna |
E1006477
|
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: Limbach-Oberfrohna | Statement: [Zwickau district, contains, Limbach-Oberfrohna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Limbach-Oberfrohna Context triple: [Zwickau district, contains, Limbach-Oberfrohna]
-
A.
Limbach-Oberfrohna
chosen
Limbach-Oberfrohna is a town in the Free State of Saxony in eastern Germany, known for its industrial heritage and location near the city of Chemnitz.
-
B.
Frohnhausen
Frohnhausen is a district (Ortsteil) of the town of Dillenburg in the Lahn-Dill-Kreis of Hesse, Germany.
-
C.
Weinböhla
Weinböhla is a small municipality in the German state of Saxony, known for its wine-growing tradition and location near the Elbe River between Dresden and Meißen.
-
D.
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.
-
E.
Frohnhofen
Frohnhofen is a district or locality within the town of Hadamar in the German state of Hesse.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1555e4ee48190a3b27b4ab9bdb1c8 |
completed | April 16, 2026, 9:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb03ef4e48190abe431e6abc9ef9c |
completed | May 9, 2026, 10:07 p.m. |
Created at: April 10, 2026, 4:50 a.m.