Triple
T21297095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oroszlány |
E524952
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Waldbrunn |
—
|
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: Waldbrunn | Statement: [Oroszlány, hasTwinTown, Waldbrunn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waldbrunn Context triple: [Oroszlány, hasTwinTown, Waldbrunn]
-
A.
Waldbrunn
chosen
Waldbrunn is a municipality in the Odenwald region of Baden-Württemberg, Germany, known for its proximity to the Katzenbuckel, the highest peak in the Odenwald.
-
B.
Wiedlisbach
Wiedlisbach is a historic small town in the canton of Bern, Switzerland, known for its well-preserved medieval old town and former status as a fortified market settlement.
-
C.
Schwellbrunn
Schwellbrunn is a Swiss village and municipality known for its scenic rural setting in the hilly Appenzell region.
-
D.
Buchbrunn
Buchbrunn is a small municipality in the Lower Franconia region of Bavaria, Germany.
-
E.
Obergriesbach
Obergriesbach is a small municipality in the district of Aichach-Friedberg in the Bavarian region of 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_69e0b517e6748190850d6f6ddf323d69 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7385968308190bc9fe5c2bd4598e6 |
completed | April 21, 2026, 8:42 a.m. |
Created at: April 16, 2026, 4:04 p.m.