Triple

T13341653
Position Surface form Disambiguated ID Type / Status
Subject Beijing Nanyuan area E317840 entity
Predicate partOf P40 FINISHED
Object Beijing urban area E2312 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: Beijing urban area | Statement: [Beijing Nanyuan area, partOf, Beijing urban area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beijing urban area
Context triple: [Beijing Nanyuan area, partOf, Beijing urban area]
  • A. Beijing area
    The Beijing area is the political and cultural heartland surrounding China’s capital city, historically significant as a center of imperial rule, republican politics, and modern governance.
  • B. Beijing chosen
    Beijing is the capital city of China, a major political, cultural, and economic center known for its rich history and rapid modern development.
  • C. Beijing-Tianjin-Hebei region
    The Beijing-Tianjin-Hebei region is a key metropolitan and economic cluster in northern China that integrates the capital Beijing, the port city Tianjin, and surrounding areas of Hebei Province.
  • D. Tianjin
    Tianjin is a major port city and industrial hub in northern China, located near Beijing along the Bohai Sea.
  • E. Zhongdu
    Zhongdu was the historical capital city of the Jurchen-led Jin dynasty in northern China, located in what is now part of modern Beijing.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99d0379d481909a50fff31b19fed1 completed April 11, 2026, 12:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f77f7a13508190bbab6eb68fb52a18 completed May 3, 2026, 5:01 p.m.
Created at: April 9, 2026, 9:31 p.m.