Triple

T15173440
Position Surface form Disambiguated ID Type / Status
Subject Doumen District E362546 entity
Predicate borders P224 FINISHED
Object Jinwan District E417971 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: Jinwan District | Statement: [Doumen District, borders, Jinwan District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jinwan District
Context triple: [Doumen District, borders, Jinwan District]
  • A. Jinwan District chosen
    Jinwan District is a coastal urban district of Zhuhai in Guangdong Province, China, known for its industrial development, aviation industry, and proximity to the Pearl River Delta.
  • B. Zhanyi District
    Zhanyi District is an administrative district under the jurisdiction of Qujing City in Yunnan Province, China, known for its role in regional agriculture and transportation.
  • C. Hongqi District
    Hongqi District is an urban administrative district within the prefecture-level city of Xinxiang in Henan Province, China.
  • D. Tianjia'an District
    Tianjia'an District is an urban administrative district and the central area of Huainan City in Anhui Province, China, known for its role in the region’s coal-based industrial economy.
  • E. Xiqing District
    Xiqing District is an administrative district in the southwestern part of Tianjin, China, known for its mix of urban development, transportation hubs, and industrial zones.
  • 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_69d85a087b7c81908baa94a53dac8d68 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e006501b488190a2ab09dbf1532571 completed April 15, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a006065741c8190ad4ceb6bd3d60f9f completed May 10, 2026, 10:39 a.m.
Created at: April 10, 2026, 3:09 a.m.