Triple
T5625118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lagginhorn |
E147698
|
entity |
| Predicate | hasNearbyPeak |
P7612
|
FINISHED |
| Object | Weissmies |
E534070
|
NE FINISHED |
How this triple was built (2 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, hasNearbyPeak, Weissmies]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weissmies Context triple: [Lagginhorn, hasNearbyPeak, Weissmies]
-
A.
Weissmies
chosen
Weissmies is a prominent 4,017-meter peak in the Pennine Alps of Switzerland, known for its glaciated slopes and popularity among mountaineers.
-
B.
Weissmieshütte
Weissmieshütte is a high-altitude Swiss Alpine Club mountain hut in the Pennine Alps that serves as a popular base for ascents of nearby peaks such as the Lagginhorn and Weissmies.
-
C.
Weißkamm
Weißkamm is a prominent subrange of the Ötztal Alps in Tyrol, Austria, known for its high glaciated peaks and alpine landscapes.
-
D.
Edelweissspitze
Edelweissspitze is a prominent mountain summit in the Austrian Alps known for its panoramic viewpoints over the surrounding high alpine landscape.
-
E.
Hösthorn
Hösthorn is a poetry collection by Swedish Nobel laureate Erik Axel Karlfeldt, known for its evocative depictions of nature and rural life.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c20d02748c819086f3b66a36201fdc |
completed | March 24, 2026, 4:03 a.m. |
Created at: March 22, 2026, 3:40 p.m.