Triple
T19528172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Annweiler am Trifels |
E488586
|
entity |
| Predicate | hasNearbyMountain |
P651
|
FINISHED |
| Object |
Sonnenberg
Sonnenberg is a mountain located near the town of Annweiler am Trifels in the Palatinate region of southwestern Germany.
|
E1382177
|
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: Sonnenberg | Statement: [Annweiler am Trifels, hasNearbyMountain, Sonnenberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sonnenberg Context triple: [Annweiler am Trifels, hasNearbyMountain, Sonnenberg]
-
A.
Sonnenberg
Sonnenberg is a residential subdistrict of Möhringen in Stuttgart, Germany.
-
B.
Sonnenberg
Sonnenberg is a ski area in the Harz Mountains of Germany, known for its winter sports facilities and proximity to the town of Sankt Andreasberg.
-
C.
Sonnenberg
Sonnenberg is a mountain peak that forms the highest point of Austria’s Leitha Mountains range.
-
D.
Ravensberg
Ravensberg was a historical county in northwestern Germany that became part of the expanding territorial holdings of Brandenburg-Prussia.
-
E.
Sörenberg
Sörenberg is a Swiss alpine village and ski resort in the canton of Lucerne, known for its scenic mountain landscapes and outdoor activities year-round.
- 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: Sonnenberg Triple: [Annweiler am Trifels, hasNearbyMountain, Sonnenberg]
Generated description
Sonnenberg is a mountain located near the town of Annweiler am Trifels in the Palatinate region of southwestern Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sonnenberg Target entity description: Sonnenberg is a mountain located near the town of Annweiler am Trifels in the Palatinate region of southwestern Germany.
-
A.
Sonnenberg
Sonnenberg is a ski area in the Harz Mountains of Germany, known for its winter sports facilities and proximity to the town of Sankt Andreasberg.
-
B.
Sonnenberg
Sonnenberg is a residential subdistrict of Möhringen in Stuttgart, Germany.
-
C.
Sonnenberg
Sonnenberg is a mountain peak that forms the highest point of Austria’s Leitha Mountains range.
-
D.
Ravensberg
Ravensberg was a historical county in northwestern Germany that became part of the expanding territorial holdings of Brandenburg-Prussia.
-
E.
Sörenberg
Sörenberg is a Swiss alpine village and ski resort in the canton of Lucerne, known for its scenic mountain landscapes and outdoor activities year-round.
- 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6363d43148190af25caaa57accf9b |
completed | April 20, 2026, 2:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a074e77bbc8819084406fcb2d053e0f |
completed | May 15, 2026, 4:48 p.m. |
| NEDg | Description generation | batch_6a074ffa3da48190badea6039822ddd6 |
completed | May 15, 2026, 4:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0750cfe42481909bf83cc488bcbae8 |
completed | May 15, 2026, 4:58 p.m. |
Created at: April 10, 2026, 1:41 p.m.