Triple
T11522803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Günzburg |
E273207
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Sonnenbühl |
E790132
|
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: Sonnenbühl | Statement: [Günzburg, hasTwinTown, Sonnenbühl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sonnenbühl Context triple: [Günzburg, hasTwinTown, Sonnenbühl]
-
A.
Sonnenbühl
chosen
Sonnenbühl is a municipality in the Swabian Alb region of Baden-Württemberg, Germany, known for its karst landscapes, caves, and outdoor recreation.
-
B.
Meisenbühl
Meisenbühl is a locality or neighborhood that forms part of the municipality of Oberkirch.
-
C.
Münchberg
Münchberg is a town in the Upper Franconia region of Bavaria, Germany, known historically for its textile industry and as a local commercial center.
-
D.
Teutschenthal
Teutschenthal is a municipality in the Saalekreis district of Saxony-Anhalt in central Germany.
-
E.
Böhlen
Böhlen is a small town in the Leipzig district of Saxony, Germany, known for its lignite mining and power generation industries.
- 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_69d6aae3fbec8190a14632a5df2538b6 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d87fd26648819083de19bcddf8ad69 |
completed | April 10, 2026, 4:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af38e3548190a5192894932d9b1d |
completed | May 3, 2026, 2:13 a.m. |
Created at: April 8, 2026, 9:37 p.m.