Triple

T5459824
Position Surface form Disambiguated ID Type / Status
Subject Newa script E122568 entity
Predicate usedIn P98 FINISHED
Object Kathmandu Valley E125203 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 Valley | Statement: [Newa script, usedIn, Kathmandu Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kathmandu Valley
Context triple: [Newa script, usedIn, Kathmandu Valley]
  • A. Kathmandu Valley chosen
    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.
  • B. Kathmandu
    Kathmandu is the capital and largest city of Nepal, serving as the country’s political, cultural, and economic center.
  • C. 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.
  • D. Nepalgunj
    Nepalgunj is a major city in southwestern Nepal known as a commercial and transportation hub near the Indian border.
  • E. Patan district
    Patan district is an administrative district in the northern part of Gujarat, India, known for its historic city of Patan and the UNESCO World Heritage site Rani ki Vav.
  • 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_69bd46424248819085282ddf50a565f3 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd91f353c481909ae1a73ae419fb9a completed March 20, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf414c39a4819098f2862f3c4594c0 completed March 22, 2026, 1:09 a.m.
Created at: March 20, 2026, 2:08 p.m.