Triple
T15687353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barnim |
E380235
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Biesenthal |
E324318
|
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: Biesenthal | Statement: [Barnim, hasMunicipality, Biesenthal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Biesenthal Context triple: [Barnim, hasMunicipality, Biesenthal]
-
A.
Biesenthal
chosen
Biesenthal is a small town in the Barnim district of Brandenburg, Germany, known for its surrounding lakes, forests, and location within the Barnim Nature Park.
-
B.
Lautenthal
Lautenthal is a small historic mining town in Germany’s Harz Mountains, known for its picturesque valley setting and former silver mining industry.
-
C.
Baar-Ebenhausen
Baar-Ebenhausen is a Bavarian municipality in southern Germany known for its residential character and location along the Ilm River.
-
D.
Bartenstein
Bartenstein is the former German name of the town now known as Bartoszyce in northeastern Poland, historically part of East Prussia.
-
E.
Niedenstein
Niedenstein is a small town in central Germany known for its scenic location near the Habichtswald hills and its traditional half-timbered architecture.
- 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f4cee5481908699fbb2b7bdd2f6 |
completed | April 16, 2026, 2:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6ee91340819086c8f51e8eb477aa |
completed | May 9, 2026, 5:29 p.m. |
Created at: April 10, 2026, 4:44 a.m.