Triple
T17614432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Żagań |
E429045
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Teltow |
—
|
NE NERFINISHED |
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: Teltow | Statement: [Żagań, hasTwinTown, Teltow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teltow Context triple: [Żagań, hasTwinTown, Teltow]
-
A.
Teltow
chosen
Teltow is a town in the German state of Brandenburg, located just southwest of Berlin and known for its historical core and proximity to the capital.
-
B.
Prignitz
Prignitz is a rural district in northwestern Brandenburg, Germany, known for its historic towns, agricultural landscapes, and location along the Elbe River.
-
C.
Groß Glienicke
Groß Glienicke is a village and former border locality in the Berlin–Brandenburg area, known for its lakeside setting and historical division between East and West Germany.
-
D.
Tornesch
Tornesch is a small town in the district of Pinneberg in Schleswig-Holstein, northern Germany, known for its residential character and proximity to Hamburg.
-
E.
Müritz
Müritz is Germany’s largest lake entirely within the country, located in the Mecklenburg Lake District of northeastern Germany.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46d2fd96481908c9f3b566fca6907 |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 5:51 a.m.