Triple
T747718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bernese Alps |
E15379
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Blüemlisalp
Blüemlisalp is a prominent glaciated mountain massif and popular climbing peak in the Swiss Bernese Alps.
|
E93214
|
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: Blüemlisalp | Statement: [Bernese Alps, contains, Blüemlisalp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blüemlisalp Context triple: [Bernese Alps, contains, Blüemlisalp]
-
A.
Zumsteinspitze
Zumsteinspitze is one of the high summits of the Monte Rosa massif in the Pennine Alps on the border between Switzerland and Italy.
-
B.
Brocken
Brocken is a prominent mountain in central Germany’s Harz range, known for its harsh climate, folklore, and role in literature and cultural history.
-
C.
Monte Rosa
Monte Rosa is a prominent massif in the Pennine Alps on the border between Switzerland and Italy, known for being the second-highest mountain in the Alps and Western Europe.
-
D.
Meyrin
Meyrin is a municipality in the canton of Geneva, Switzerland, best known for hosting major CERN facilities including the Super Proton Synchrotron.
-
E.
Konradshöhe
Konradshöhe is a leafy, riverside locality in the northwest of Berlin known for its tranquil, village-like character within the borough of Reinickendorf.
- 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: Blüemlisalp Triple: [Bernese Alps, contains, Blüemlisalp]
Generated description
Blüemlisalp is a prominent glaciated mountain massif and popular climbing peak in the Swiss Bernese Alps.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Blüemlisalp Target entity description: Blüemlisalp is a prominent glaciated mountain massif and popular climbing peak in the Swiss Bernese Alps.
-
A.
Zumsteinspitze
Zumsteinspitze is one of the high summits of the Monte Rosa massif in the Pennine Alps on the border between Switzerland and Italy.
-
B.
Brocken
Brocken is a prominent mountain in central Germany’s Harz range, known for its harsh climate, folklore, and role in literature and cultural history.
-
C.
Monte Rosa
Monte Rosa is a prominent massif in the Pennine Alps on the border between Switzerland and Italy, known for being the second-highest mountain in the Alps and Western Europe.
-
D.
Meyrin
Meyrin is a municipality in the canton of Geneva, Switzerland, best known for hosting major CERN facilities including the Super Proton Synchrotron.
-
E.
Konradshöhe
Konradshöhe is a leafy, riverside locality in the northwest of Berlin known for its tranquil, village-like character within the borough of Reinickendorf.
- 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_69a49358aa308190adbc9b5a0a2adcf9 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a62dd1bc819094a3814654448ae3 |
completed | March 1, 2026, 8:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a673345f18819084e2caf380e46b30 |
completed | March 3, 2026, 5:35 a.m. |
| NEDg | Description generation | batch_69a674831930819099828b4cc83626bf |
completed | March 3, 2026, 5:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a675259d7c819097324291ac477ac1 |
completed | March 3, 2026, 5:44 a.m. |
Created at: March 1, 2026, 7:37 p.m.