Triple

T4469117
Position Surface form Disambiguated ID Type / Status
Subject Chinese Red Army E98450 entity
Predicate headquartersLocation P62 FINISHED
Object Ruijin E275738 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: Ruijin | Statement: [Chinese Red Army, headquartersLocation, Ruijin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ruijin
Context triple: [Chinese Red Army, headquartersLocation, 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 (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_69b3454b4ae481908967426dd37284d6 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3569cd03c8190927c596bedb45ac8 completed March 13, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69bd6f7bfd4c8190adf670a5a11c8182 completed March 20, 2026, 4:02 p.m.
Created at: March 12, 2026, 11:34 p.m.