Triple

T7816313
Position Surface form Disambiguated ID Type / Status
Subject Bhaktapur E181014 entity
Predicate partOf P40 FINISHED
Object Bhaktapur District E552590 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: Bhaktapur District | Statement: [Bhaktapur, partOf, Bhaktapur District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bhaktapur District
Context triple: [Bhaktapur, partOf, Bhaktapur District]
  • A. Bhaktapur District chosen
    Bhaktapur District is a historically rich and culturally significant district in central Nepal, renowned for its well-preserved medieval architecture, temples, and traditional Newar heritage.
  • B. Ramechhap District
    Ramechhap District is an administrative region in central Nepal known for its hilly terrain, rural settlements, and river valleys shaped by major waterways like the Sun Kosi.
  • C. Gorkha District
    Gorkha District is a hilly district in central Nepal known as the historic homeland of the Shah dynasty and the unification of modern Nepal.
  • D. Sankhuwasabha District
    Sankhuwasabha District is a mountainous district in eastern Nepal known for encompassing part of the Himalayas, including the area around Mount Makalu.
  • E. Lalitpur district
    Lalitpur district is an administrative region in the Indian state of Uttar Pradesh, known for its Bundelkhand cultural heritage and predominantly rural landscape.
  • 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_69ca828153f48190bdb27ac46f8e0745 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69caf96ea6d881908eff5f750e0f6700 completed March 30, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb1488a2e48190924f44b46f925d87 completed March 31, 2026, 12:25 a.m.
Created at: March 30, 2026, 4:39 p.m.