Triple
T10861826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ammergau Alps |
E256423
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Bad Kohlgrub
Bad Kohlgrub is a Bavarian spa village in southern Germany known for its alpine setting and access to the Ammergau Alps.
|
E893204
|
NE FINISHED |
How this triple was built (4 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 Kohlgrub | Statement: [Ammergau Alps, hasSettlement, Bad Kohlgrub]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bad Kohlgrub Context triple: [Ammergau Alps, hasSettlement, Bad Kohlgrub]
-
A.
Bocksberg
Bocksberg is a mountain in the Harz region of Germany, known for its hiking trails, winter sports facilities, and scenic views near the village of Hahnenklee.
-
B.
Deutschlandsberg
Deutschlandsberg is a small Austrian town in the southwest of the state of Styria, known for its surrounding vineyards, castle, and scenic hilly landscape.
-
C.
Wackersberg
Wackersberg is a rural Bavarian municipality in southern Germany, known for its scenic Alpine foothills and traditional village character.
-
D.
Schreckfirn
Schreckfirn is a glacier in the Bernese Alps of Switzerland, lying on the slopes of the Schreckhorn.
-
E.
Kofel
Kofel is a distinctive, steep limestone peak overlooking the town of Oberammergau in the Ammergau Alps of Bavaria, Germany, popular with hikers and climbers.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bad Kohlgrub Triple: [Ammergau Alps, hasSettlement, Bad Kohlgrub]
Generated description
Bad Kohlgrub is a Bavarian spa village in southern Germany known for its alpine setting and access to the Ammergau Alps.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bad Kohlgrub Target entity description: Bad Kohlgrub is a Bavarian spa village in southern Germany known for its alpine setting and access to the Ammergau Alps.
-
A.
Bocksberg
Bocksberg is a mountain in the Harz region of Germany, known for its hiking trails, winter sports facilities, and scenic views near the village of Hahnenklee.
-
B.
Deutschlandsberg
Deutschlandsberg is a small Austrian town in the southwest of the state of Styria, known for its surrounding vineyards, castle, and scenic hilly landscape.
-
C.
Wackersberg
Wackersberg is a rural Bavarian municipality in southern Germany, known for its scenic Alpine foothills and traditional village character.
-
D.
Schreckfirn
Schreckfirn is a glacier in the Bernese Alps of Switzerland, lying on the slopes of the Schreckhorn.
-
E.
Kofel
Kofel is a distinctive, steep limestone peak overlooking the town of Oberammergau in the Ammergau Alps of Bavaria, Germany, popular with hikers and climbers.
- F. None of above. chosen
Provenance (5 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_69d6aa83d1448190a66d93c32394d21f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7515186f08190a5cc388a7d936c4f |
completed | April 9, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2167717008190bd282f318e7f9769 |
completed | April 17, 2026, 11:16 a.m. |
| NEDg | Description generation | batch_69e21d860d288190855ffbe60df50df9 |
completed | April 17, 2026, 11:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e21f09be508190a7c497a7680cb59e |
completed | April 17, 2026, 11:52 a.m. |
Created at: April 8, 2026, 9:20 p.m.