Triple

T6922638
Position Surface form Disambiguated ID Type / Status
Subject Kumamoto, Japan E160223 entity
Predicate twinnedWith P1072 FINISHED
Object Guiyang, China E188949 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: Guiyang, China | Statement: [Kumamoto, Japan, twinnedWith, Guiyang, China]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guiyang, China
Context triple: [Kumamoto, Japan, twinnedWith, Guiyang, China]
  • A. Guiyang chosen
    Guiyang is the capital city of Guizhou Province in southwest China, known for its cool climate, karst landscapes, and role as a regional transportation and industrial hub.
  • B. Kunming, China
    Kunming, China is a major city in southwest China that served as a key World War II air base and supply hub, notably for the American Volunteer Group known as the Flying Tigers.
  • C. Zunyi
    Zunyi is a historically significant city in southwest China, best known as the site of the pivotal 1935 Zunyi Conference during the Long March.
  • D. Liupanshui
    Liupanshui is a major industrial and mining city in western Guizhou Province, China, known for its coal resources, cool climate, and mountainous karst landscape.
  • E. Putian
    Putian is a coastal prefecture-level city in southeastern China known for its manufacturing industries, especially footwear, and its historical and cultural heritage within Fujian province.
  • 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_69c6884d350081908d8a970e4d40ad78 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d9fd159c819092a69d1a24e22dd5 completed March 27, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c75137dd848190b35ff72725f886ba completed March 28, 2026, 3:55 a.m.
Created at: March 27, 2026, 2:26 p.m.