Triple

T247413
Position Surface form Disambiguated ID Type / Status
Subject South Asian Association for Regional Cooperation E5067 entity
Predicate headquartersLocation P62 FINISHED
Object Kathmandu E15177 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: [South Asian Association for Regional Cooperation, headquartersLocation, Kathmandu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kathmandu
Context triple: [South Asian Association for Regional Cooperation, headquartersLocation, Kathmandu]
  • A. Nepal chosen
    Nepal is a landlocked South Asian country in the Himalayas, known for Mount Everest, its rich cultural heritage, and its location between India and China.
  • B. Guwahati
    Guwahati is a major city in northeastern India, serving as a key cultural, economic, and transportation hub for the region.
  • C. Ulaanbaatar
    Ulaanbaatar is the capital and largest city of Mongolia, serving as its political, economic, and cultural center.
  • D. Chandigarh
    Chandigarh is a planned city in northern India, renowned for its modernist architecture and urban design largely conceived by the Swiss-French architect Le Corbusier.
  • E. Pyongyang
    Pyongyang is the capital and largest city of North Korea, serving as its political, economic, and cultural center.
  • 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_69a257c4bf688190a46ebbf411ab7473 completed Feb. 28, 2026, 2:49 a.m.
NER Named-entity recognition batch_69a25d13b8088190a3f48f0388d57496 completed Feb. 28, 2026, 3:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69a36cf64798819096218d320b00a3a9 completed Feb. 28, 2026, 10:32 p.m.
Created at: Feb. 28, 2026, 2:54 a.m.