Triple
T8309771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khumbu |
E194560
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Gokyo |
E187805
|
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: Gokyo | Statement: [Khumbu, contains, Gokyo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gokyo Context triple: [Khumbu, contains, Gokyo]
-
A.
Gokyo Ri
Gokyo Ri is a popular trekking peak in Nepal’s Everest region, known for its panoramic views of Mount Everest, surrounding Himalayan giants, and the turquoise Gokyo Lakes.
-
B.
Gyalshing
Gyalshing is a town in the Indian state of Sikkim that serves as an important local commercial and administrative center in the region.
-
C.
Gokyo Lakes
chosen
Gokyo Lakes is a high-altitude group of glacial lakes in Nepal’s Everest region, renowned for their turquoise waters, dramatic Himalayan scenery, and popularity among trekkers.
-
D.
Pangboche
Pangboche is a high-altitude Sherpa village in Nepal’s Khumbu region, known as a traditional stop on the trekking route to Everest Base Camp.
-
E.
Gulmit
Gulmit is a picturesque village in northern Pakistan’s Gilgit-Baltistan region, known for its traditional Wakhi culture, terraced fields, and views of the surrounding Karakoram peaks.
- 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_69ca82e613e88190bf8139669bbd0d53 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f2d2c30819095075940479b75a7 |
completed | March 31, 2026, 8 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce8877499081909d8e3762e9c1ed2f |
completed | April 2, 2026, 3:17 p.m. |
Created at: March 30, 2026, 5:54 p.m.