Triple

T56862
Position Surface form Disambiguated ID Type / Status
Subject India E1124 entity
Predicate borderCountry P224 FINISHED
Object China E5561 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: China | Statement: [India, borderCountry, China]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: China
Context triple: [India, borderCountry, China]
  • A. China chosen
    China is a vast East Asian country known for its long continuous civilization, large population, and major global economic and political influence.
  • B. North China
    North China is a historically and politically significant region of northern China that has long been a strategic center for military, economic, and cultural activity.
  • C. South Korea
    South Korea is an East Asian nation on the southern half of the Korean Peninsula, known for its advanced technology, vibrant pop culture, and rapid economic development.
  • D. Japan
    Japan is an East Asian island nation in the Pacific Ocean known for its advanced technology, rich cultural heritage, and major cities such as Tokyo, Osaka, and Kyoto.
  • E. Chinese Taipei
    Chinese Taipei is the designated name under which Taiwan participates in various international organizations and events, particularly where its political status is sensitive.
  • 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_69a248adc5b48190aa8db9fb092fb28a completed Feb. 28, 2026, 1:45 a.m.
NER Named-entity recognition batch_69a24b07f4a881909e32115e84da02a3 completed Feb. 28, 2026, 1:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2c936a0b48190950c2684055ff591 completed Feb. 28, 2026, 10:53 a.m.
Created at: Feb. 28, 2026, 1:50 a.m.