Triple

T1692967
Position Surface form Disambiguated ID Type / Status
Subject Chongqing E36590 entity
Predicate hasDistrict P459 FINISHED
Object Yuzhong District E200321 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: Yuzhong District | Statement: [Chongqing, hasDistrict, Yuzhong District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yuzhong District
Context triple: [Chongqing, hasDistrict, Yuzhong District]
  • A. Yuzhong District chosen
    Yuzhong District is the historic urban core and main commercial and financial center of Chongqing, China, located on a peninsula at the confluence of the Yangtze and Jialing Rivers.
  • B. Tianxin District
    Tianxin District is a central urban district of Changsha, the capital city of Hunan Province in China, known for its historical sites and commercial areas.
  • C. Xicheng District
    Xicheng District is a central urban district of Beijing, China, known for its historic sites, government institutions, and cultural landmarks.
  • D. Jianye District
    Jianye District is an urban district of Nanjing, China, known for its historical significance and major memorial sites related to the Nanjing Massacre.
  • E. Fengtai District
    Fengtai District is an urban district in southwestern Beijing, China, known for its mix of residential, industrial, and historical areas, including the site of the Marco Polo Bridge.
  • 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_69a886151508819084fa7f1ce6e05577 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa62b097488190907e3bce234e3c77 completed March 6, 2026, 5:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69adc9974b9c819081e9513ae2a0883b completed March 8, 2026, 7:10 p.m.
Created at: March 4, 2026, 7:29 p.m.