Triple

T18406809
Position Surface form Disambiguated ID Type / Status
Subject Jiangxi Soviet E441644 entity
Predicate administrativeCenter P1474 FINISHED
Object Ruijin 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: Ruijin | Statement: [Jiangxi Soviet, administrativeCenter, Ruijin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ruijin
Context triple: [Jiangxi Soviet, administrativeCenter, Ruijin]
  • A. Ruijin chosen
    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.
  • B. Ji'an
    Ji'an is a prefecture-level city in southeastern China known for its historical significance and cultural heritage within Jiangxi Province.
  • C. 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.
  • D. Shangrao
    Shangrao is a prefecture-level city in northeastern Jiangxi Province, China, known for its mountainous landscapes and proximity to popular scenic areas such as Mount Sanqing.
  • E. Quzhou
    Quzhou is a historic prefecture-level city in western Zhejiang Province, China, known as a regional transport hub with cultural heritage sites and a growing modern economy.
  • 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_69d8b9eb8a508190a942fd75ebd8b1dc completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e519591fdc8190a92f9587ec88478d completed April 19, 2026, 6:05 p.m.
Created at: April 10, 2026, 10:46 a.m.