Triple

T11369163
Position Surface form Disambiguated ID Type / Status
Subject Shangrao E269295 entity
Predicate hasAdministrativeDivision P747 FINISHED
Object Xinzhou District E921763 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: Xinzhou District | Statement: [Shangrao, hasAdministrativeDivision, Xinzhou District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xinzhou District
Context triple: [Shangrao, hasAdministrativeDivision, Xinzhou District]
  • A. Xinzhou District chosen
    Xinzhou District is the central urban district and administrative hub of Shangrao City in Jiangxi Province, China.
  • B. Xinzhou District
    Xinzhou District is an outlying district of Wuhan, China, known for its ongoing urban development and integration into the city’s metro network.
  • C. Xinzhou
    Xinzhou is a prefecture-level city in northern China known for its historical sites and location within Shanxi Province’s coal-rich and culturally significant region.
  • D. Datong District
    Datong District is an urban administrative district under the jurisdiction of Huainan City in Anhui Province, China, known for its role in the region’s coal industry and urban development.
  • E. Shangzhou District
    Shangzhou District is an urban administrative district in Shangluo, Shaanxi Province, China, serving as the city's political and economic center.
  • 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea89e1148190b0ca29db9d7e2cbd completed April 9, 2026, 6:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e58bdaabd48190ab533c1c7f3b5fd8 completed April 20, 2026, 2:13 a.m.
Created at: April 8, 2026, 9:33 p.m.