Triple
T5625103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lagginhorn |
E147698
|
entity |
| Predicate | hasSummitViewOf |
P9193
|
FINISHED |
| Object |
Weissmies
Weissmies is a prominent 4,017-meter peak in the Pennine Alps of Switzerland, known for its glaciated slopes and popularity among mountaineers.
|
E534070
|
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: Weissmies | Statement: [Lagginhorn, hasSummitViewOf, Weissmies]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weissmies Context triple: [Lagginhorn, hasSummitViewOf, Weissmies]
-
A.
Weißkamm
Weißkamm is a prominent subrange of the Ötztal Alps in Tyrol, Austria, known for its high glaciated peaks and alpine landscapes.
-
B.
Edelweissspitze
Edelweissspitze is a prominent mountain summit in the Austrian Alps known for its panoramic viewpoints over the surrounding high alpine landscape.
-
C.
Hösthorn
Hösthorn is a poetry collection by Swedish Nobel laureate Erik Axel Karlfeldt, known for its evocative depictions of nature and rural life.
-
D.
Kaltwasserkarspitze
Kaltwasserkarspitze is a prominent mountain peak in the Karwendel range of the Northern Limestone Alps in Austria.
-
E.
Schneeferner
Schneeferner is a small alpine glacier located on Germany’s highest mountain, the Zugspitze, and is one of the country’s last remaining glaciers.
- 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: Weissmies Triple: [Lagginhorn, hasSummitViewOf, Weissmies]
Generated description
Weissmies is a prominent 4,017-meter peak in the Pennine Alps of Switzerland, known for its glaciated slopes and popularity among mountaineers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Weissmies Target entity description: Weissmies is a prominent 4,017-meter peak in the Pennine Alps of Switzerland, known for its glaciated slopes and popularity among mountaineers.
-
A.
Weißkamm
Weißkamm is a prominent subrange of the Ötztal Alps in Tyrol, Austria, known for its high glaciated peaks and alpine landscapes.
-
B.
Edelweissspitze
Edelweissspitze is a prominent mountain summit in the Austrian Alps known for its panoramic viewpoints over the surrounding high alpine landscape.
-
C.
Hösthorn
Hösthorn is a poetry collection by Swedish Nobel laureate Erik Axel Karlfeldt, known for its evocative depictions of nature and rural life.
-
D.
Kaltwasserkarspitze
Kaltwasserkarspitze is a prominent mountain peak in the Karwendel range of the Northern Limestone Alps in Austria.
-
E.
Schneeferner
Schneeferner is a small alpine glacier located on Germany’s highest mountain, the Zugspitze, and is one of the country’s last remaining glaciers.
- 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_69c00906f2a88190a992c66b13d606d4 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c02235b4e48190a529f70605bf47ca |
completed | March 22, 2026, 5:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c02882babc819093c987c745615865 |
completed | March 22, 2026, 5:36 p.m. |
| NEDg | Description generation | batch_69c03f8c1a3081908f9d03a6c51d69f0 |
completed | March 22, 2026, 7:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0404f0a3081908850794f9a5cea40 |
completed | March 22, 2026, 7:17 p.m. |
Created at: March 22, 2026, 3:40 p.m.