Triple

T19054594
Position Surface form Disambiguated ID Type / Status
Subject Kakamigahara E466358 entity
Predicate hasSisterCity P919 FINISHED
Object Jiujiang NE NERFINISHED

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: Jiujiang | Statement: [Kakamigahara, hasSisterCity, Jiujiang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jiujiang
Context triple: [Kakamigahara, hasSisterCity, Jiujiang]
  • A. Jiujiang chosen
    Jiujiang is a historic port city on the southern shores of the Yangtze River in southeastern China, known as a regional transport hub and gateway to the famous Lushan Mountain scenic area.
  • B. Ruijin
    Ruijin is a county-level city in southeastern China historically known as the "Cradle of the Chinese Revolution" for its role as an early center of Communist activity and the starting point of the Long March.
  • C. Jingjiang
    Jingjiang is a county-level city in Jiangsu Province, China, situated along the Yangtze River and known for its river port and industrial economy.
  • D. Nanchang
    Nanchang is the capital and largest city of Jiangxi Province in southeastern China, known as an important regional industrial and transportation hub.
  • E. Ganzhou
    Ganzhou is a major prefecture-level city in southern Jiangxi Province, China, known as a regional economic and transportation hub with a long history and rich cultural heritage.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd040fb881909af2a964f65ad208 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5dc049f64819093ae9fda26a49bd2 completed April 20, 2026, 7:55 a.m.
Created at: April 10, 2026, 12:03 p.m.