Triple

T9941234
Position Surface form Disambiguated ID Type / Status
Subject Seti River E194085 entity
Predicate flowsThrough P225 FINISHED
Object Pokhara E187800 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: Pokhara | Statement: [Seti River, flowsThrough, Pokhara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pokhara
Context triple: [Seti River, flowsThrough, Pokhara]
  • A. Pokhara chosen
    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.
  • B. Nepalgunj
    Nepalgunj is a major city in southwestern Nepal known as a commercial and transportation hub near the Indian border.
  • C. Patan
    Patan is an ancient city in the Kathmandu Valley of Nepal, renowned for its rich Newar culture, traditional arts, and historic Durbar Square filled with temples and palaces.
  • D. Kathmandu
    Kathmandu is the capital and largest city of Nepal, serving as the country’s political, cultural, and economic center.
  • E. Bhaktapur
    Bhaktapur is an ancient Newar city in the Kathmandu Valley of Nepal, renowned for its well-preserved medieval architecture, rich cultural heritage, and historic Durbar Square.
  • 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_69ca82e409348190a393777356b80a2a completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb610905c81909d669265c92021a5 completed April 2, 2026, 12:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69d269e28f0081908244f9f469b15ec1 completed April 5, 2026, 1:55 p.m.
Created at: March 30, 2026, 8:44 p.m.