Triple
T6430368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Namche Bazaar |
E128162
|
entity |
| Predicate | nearby |
P350
|
FINISHED |
| Object | Lukla |
E591774
|
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: Lukla | Statement: [Namche Bazaar, nearby, Lukla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lukla Context triple: [Namche Bazaar, nearby, Lukla]
-
A.
Lukla
chosen
Lukla is a small town in Nepal’s Khumbu region best known as the gateway to the Everest region, with a famous high-altitude airstrip used by trekkers and climbers heading toward Mount Everest.
-
B.
Pokhara
Pokhara is a major lakeside city in central Nepal, known as a gateway to the Annapurna mountain range and a hub for trekking and adventure tourism.
-
C.
Thamel
Thamel is a bustling tourist district in Kathmandu known for its narrow streets packed with shops, restaurants, bars, and budget accommodations.
-
D.
Kathmandu
Kathmandu is the capital and largest city of Nepal, serving as the country’s political, cultural, and economic center.
-
E.
Nepalgunj
Nepalgunj is a major city in southwestern Nepal known as a commercial and transportation hub near the Indian border.
- 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_69c00838de888190af2eec0b80495efa |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0693b872c819082a7d0e257018831 |
completed | March 22, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c64bbc865c81909bf064b9253bc263 |
completed | March 27, 2026, 9:19 a.m. |
Created at: March 22, 2026, 4:44 p.m.