Triple
T7870100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Nations Office for Disarmament Affairs |
E182715
|
entity |
| Predicate | fieldOffice |
P9115
|
FINISHED |
| Object | Kathmandu |
E32411
|
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: Kathmandu | Statement: [United Nations Office for Disarmament Affairs, fieldOffice, Kathmandu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kathmandu Context triple: [United Nations Office for Disarmament Affairs, fieldOffice, Kathmandu]
-
A.
Kathmandu
chosen
Kathmandu is the capital and largest city of Nepal, serving as the country’s political, cultural, and economic center.
-
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.
Nepalgunj
Nepalgunj is a major city in southwestern Nepal known as a commercial and transportation hub near the Indian border.
-
D.
Kathmandu Valley
Kathmandu Valley is a historically rich and culturally vibrant region in central Nepal that encompasses the nation’s capital and serves as its political, economic, and cultural heart.
-
E.
Thamel
Thamel is a bustling tourist district in Kathmandu known for its narrow streets packed with shops, restaurants, bars, and budget accommodations.
- 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_69ca82894d9081908a832bfce71a4714 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb384a285881908a5b2de278f9556f |
completed | March 31, 2026, 2:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5a5c24908190847b612a56a1abf5 |
completed | March 31, 2026, 5:23 a.m. |
Created at: March 30, 2026, 4:55 p.m.