Triple

T81950
Position Surface form Disambiguated ID Type / Status
Subject Pakistan E1646 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: [Pakistan, borderCountry, China]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: China
Context triple: [Pakistan, 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. Manchukuo
    Manchukuo was a Japanese puppet state established in northeastern China (Manchuria) from 1932 to 1945, used as a base for imperial expansion in East Asia during World War II.
  • E. 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.
  • 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_69a24c8150408190910a693eb51c1f71 completed Feb. 28, 2026, 2:01 a.m.
NER Named-entity recognition batch_69a24f367b208190a69f5b76d6ae0496 completed Feb. 28, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2e0f3430481908a6304e5938c2eac completed Feb. 28, 2026, 12:34 p.m.
Created at: Feb. 28, 2026, 2:06 a.m.