Triple

T12238368
Position Surface form Disambiguated ID Type / Status
Subject Bishnumati River E291661 entity
Predicate flowsThrough P225 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: [Bishnumati River, flowsThrough, Kathmandu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kathmandu
Context triple: [Bishnumati River, flowsThrough, 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cb45340819093365f8efdf85f75 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62a9057408190a25f44d773b2b178 completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:51 p.m.