Triple

T8113088
Position Surface form Disambiguated ID Type / Status
Subject Liwan District E189403 entity
Predicate borders P224 FINISHED
Object Haizhu District E194167 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: Haizhu District | Statement: [Liwan District, borders, Haizhu District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haizhu District
Context triple: [Liwan District, borders, Haizhu District]
  • A. Haizhu District chosen
    Haizhu District is a central urban district of Guangzhou, China, known for its mix of residential areas, commercial centers, and cultural sites along the Pearl River.
  • B. Zhifu District
    Zhifu District is the central urban district and administrative, commercial, and cultural core of Yantai in Shandong Province, China.
  • C. Nanyue District
    Nanyue District is an administrative district in Hengyang, Hunan Province, China, best known as the site of Mount Heng, one of the country’s Five Great Mountains and an important center of religious pilgrimage and tourism.
  • D. Chengguan District
    Chengguan District is the central urban district of Lhasa, serving as the political, economic, and cultural core of the Tibet Autonomous Region's capital city.
  • E. Chengguan District
    Chengguan District is the central urban district and administrative, commercial, and cultural core of Lanzhou, the capital of Gansu Province in northwestern China.
  • 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_69ca82baad008190ab2859712b9b1607 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb432d7dfc8190b9c980f32c7b4623 completed March 31, 2026, 3:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce3901157c81908064c4b47d1c1ea4 completed April 2, 2026, 9:38 a.m.
Created at: March 30, 2026, 5:32 p.m.