Triple
T11890261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | District of Rottal-Inn |
E282892
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Bad Birnbach |
E912819
|
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: Bad Birnbach | Statement: [District of Rottal-Inn, hasSettlement, Bad Birnbach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bad Birnbach Context triple: [District of Rottal-Inn, hasSettlement, Bad Birnbach]
-
A.
Bad Birnbach
chosen
Bad Birnbach is a Bavarian spa town in southeastern Germany known for its thermal baths and rural, health-resort atmosphere.
-
B.
Schreckfirn
Schreckfirn is a glacier in the Bernese Alps of Switzerland, lying on the slopes of the Schreckhorn.
-
C.
Bad Kohlgrub
Bad Kohlgrub is a Bavarian spa village in southern Germany known for its alpine setting and access to the Ammergau Alps.
-
D.
Kirchenthumbach
Kirchenthumbach is a market town in the Upper Palatinate region of Bavaria, Germany, known for its rural character and historic parish church.
-
E.
Wackersberg
Wackersberg is a rural Bavarian municipality in southern Germany, known for its scenic Alpine foothills and traditional village character.
- 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_69d6ab2a90b08190a4e818821cc93e6d |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8d3a3f7548190adfb567f060a175a |
completed | April 10, 2026, 10:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f417f7f268819091bdb72394506808 |
completed | May 1, 2026, 3:03 a.m. |
Created at: April 8, 2026, 9:44 p.m.