Triple

T3864652
Position Surface form Disambiguated ID Type / Status
Subject Buick Envision E91821 entity
Predicate targetMarket P481 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: [Buick Envision, targetMarket, China]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: China
Context triple: [Buick Envision, targetMarket, 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. Kinas
    Kinas is the official rooster mascot created for the UEFA Euro 2004 football championship held in Portugal.
  • C. Chung Kuo
    "Chung Kuo" is an instrumental electronic music track by Vangelis from his 1979 album "China," evoking an atmospheric, synthesizer-driven portrait of China.
  • D. kina
    Kina is the official currency of Papua New Guinea, used for everyday transactions and financial activities throughout the country.
  • E. Chin
    The Chin are an indigenous ethnic group from the mountainous regions of western Myanmar (and neighboring areas), known for their distinct Tibeto-Burman languages and rich cultural traditions.
  • 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_69aed9645f348190a9868e7cef56ab7e completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec3871d881909c6c8e6d08203801 completed March 9, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51211a34c8190a3cd8d45e8f7dd87 completed March 14, 2026, 7:45 a.m.
Created at: March 9, 2026, 3:19 p.m.