Triple

T14064376
Position Surface form Disambiguated ID Type / Status
Subject Foshan E338426 entity
Predicate hasDistrict P459 FINISHED
Object Gaoming District E775576 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: Gaoming District | Statement: [Foshan, hasDistrict, Gaoming District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gaoming District
Context triple: [Foshan, hasDistrict, Gaoming District]
  • A. Gaoming District chosen
    Gaoming District is an administrative district of the city of Foshan in Guangdong Province, China, known for its mix of urban development and manufacturing-based economy.
  • B. Sanshui District
    Sanshui District is an administrative district of Foshan City in Guangdong Province, China, known for its manufacturing base and location within the Pearl River Delta economic region.
  • C. Haizhu District
    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.
  • D. Xinbei District
    Xinbei District is a major urban district and economic hub of Changzhou in Jiangsu Province, China, known for its modern development and industrial zones.
  • E. 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.
  • 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5689c7f48190a47ca94eaa8a9ef9 completed April 14, 2026, 3 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b3017808190a44087056ba6a472 completed May 9, 2026, 10:23 a.m.
Created at: April 9, 2026, 10:21 p.m.