Triple

T1730475
Position Surface form Disambiguated ID Type / Status
Subject Volkswagen Golf E37797 entity
Predicate assemblyLocation P40 FINISHED
Object Changchun, China E164950 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: Changchun, China | Statement: [Volkswagen Golf, assemblyLocation, Changchun, China]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Changchun, China
Context triple: [Volkswagen Golf, assemblyLocation, Changchun, China]
  • A. Changchun chosen
    Changchun is a major city in northeastern China that served as the capital of the Japanese puppet state of Manchukuo during the early 20th century.
  • B. Jilin City
    Jilin City is a major industrial and transportation hub in northeastern China, situated along the Songhua River in central Jilin Province.
  • C. Shenyang
    Shenyang is a major industrial and historical city in northeastern China and the capital of Liaoning Province.
  • D. Harbin
    Harbin is a major city in northeastern China known for its Russian-influenced architecture and its internationally famous annual ice and snow festival.
  • E. Liaocheng, China
    Liaocheng is a historic prefecture-level city in western Shandong Province, eastern China, known for its ancient canal-side old town and cultural heritage.
  • 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_69a8861cc6ac8190ac0b2e31ccf62851 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa637f202c8190b46a31bef51465c8 completed March 6, 2026, 5:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0ab3a140819081dbb7b19e33051c completed March 8, 2026, 11:48 p.m.
Created at: March 4, 2026, 7:30 p.m.