Triple
T9353053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berchtesgaden National Park |
E225064
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Wimbachklamm
Wimbachklamm is a narrow, scenic gorge in the Bavarian Alps known for its wooden walkways, waterfalls, and dramatic rock formations.
|
E793240
|
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: Wimbachklamm | Statement: [Berchtesgaden National Park, hasPart, Wimbachklamm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wimbachklamm Context triple: [Berchtesgaden National Park, hasPart, Wimbachklamm]
-
A.
Birenbach
Birenbach is a small municipality in the Göppingen district of the German state of Baden-Württemberg.
-
B.
Weidach
Weidach is a locality or district that forms part of the municipality of Blaustein in the state of Baden-Württemberg, Germany.
-
C.
Langrickenbach
Langrickenbach is a municipality in the canton of Thurgau in northeastern Switzerland, situated in a rural area near Lake Constance.
-
D.
Landwassertal
Landwassertal is a valley in the Swiss canton of Graubünden, known for its dramatic alpine landscape and the famous Landwasser Viaduct of the Rhaetian Railway.
-
E.
Eschbach
Eschbach is a village and district of the town of Usingen in the Hochtaunus region of Hesse, Germany.
- 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: Wimbachklamm Triple: [Berchtesgaden National Park, hasPart, Wimbachklamm]
Generated description
Wimbachklamm is a narrow, scenic gorge in the Bavarian Alps known for its wooden walkways, waterfalls, and dramatic rock formations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wimbachklamm Target entity description: Wimbachklamm is a narrow, scenic gorge in the Bavarian Alps known for its wooden walkways, waterfalls, and dramatic rock formations.
-
A.
Birenbach
Birenbach is a small municipality in the Göppingen district of the German state of Baden-Württemberg.
-
B.
Weidach
Weidach is a locality or district that forms part of the municipality of Blaustein in the state of Baden-Württemberg, Germany.
-
C.
Langrickenbach
Langrickenbach is a municipality in the canton of Thurgau in northeastern Switzerland, situated in a rural area near Lake Constance.
-
D.
Landwassertal
Landwassertal is a valley in the Swiss canton of Graubünden, known for its dramatic alpine landscape and the famous Landwasser Viaduct of the Rhaetian Railway.
-
E.
Eschbach
Eschbach is a village and district of the town of Usingen in the Hochtaunus region of Hesse, Germany.
- 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_69ca842abfd48190949d71c3b86eeba8 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4f9515008190b01fbb43d673de2a |
completed | April 1, 2026, 5:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0e44f0a7881908b53a97715f4c6da |
completed | April 4, 2026, 10:13 a.m. |
| NEDg | Description generation | batch_69d0e5752a38819089b23ac52f0a6a39 |
completed | April 4, 2026, 10:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0e64cb4dc81908cef7d729d9cfb4d |
completed | April 4, 2026, 10:22 a.m. |
Created at: March 30, 2026, 7:41 p.m.