Triple

T11518292
Position Surface form Disambiguated ID Type / Status
Subject Ji'an E273087 entity
Predicate borderingPrefectureLevelCity P49472 FINISHED
Object Pingxiang E221025 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: Pingxiang | Statement: [Ji'an, borderingPrefectureLevelCity, Pingxiang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pingxiang
Context triple: [Ji'an, borderingPrefectureLevelCity, Pingxiang]
  • A. Pingxiang chosen
    Pingxiang is a prefecture-level industrial city in western Jiangxi Province, China, known historically for its coal mining and ceramics production.
  • B. Ningxiang
    Ningxiang is a county-level city in Hunan Province, China, administered by the prefecture-level city of Changsha and known for its rapidly developing economy and rich cultural heritage.
  • C. Xinshao Xiang
    Xinshao Xiang is a regional variety of the Xiang Chinese language spoken primarily in Xinshao County, Hunan Province, China.
  • D. Xiangxiang City
    Xiangxiang City is a county-level city in Hunan Province, China, administered by the prefecture-level city of Xiangtan and known for its historical and cultural heritage.
  • E. Zixing City
    Zixing City is a county-level city in Hunan Province, China, administered by the prefecture-level city of Chenzhou and known for its mountainous landscapes and mining industry.
  • 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_69d6aae2c3748190bed2ea50dfb160dc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d87fcf927081908ef89eff7ad833b0 completed April 10, 2026, 4:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef822a90e48190874a87bd9a634685 completed April 27, 2026, 3:35 p.m.
Created at: April 8, 2026, 9:36 p.m.