Triple

T12158964
Position Surface form Disambiguated ID Type / Status
Subject Sanming E289653 entity
Predicate borderedBy P224 FINISHED
Object Ganzhou E268203 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: Ganzhou | Statement: [Sanming, borderedBy, Ganzhou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ganzhou
Context triple: [Sanming, borderedBy, Ganzhou]
  • A. Ganzhou chosen
    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.
  • B. 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.
  • C. Ji'an
    Ji'an is a prefecture-level city in southeastern China known for its historical significance and cultural heritage within Jiangxi Province.
  • D. 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.
  • E. Nanping
    Nanping is a prefecture-level city in northern Fujian Province, China, known for its mountainous terrain, rich biodiversity, and role as a regional transport and economic hub.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915c277e481908351bf4e664dda42 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6684d33888190ba68425685d515ac completed May 2, 2026, 9:10 p.m.
Created at: April 8, 2026, 9:50 p.m.