Triple

T13189997
Position Surface form Disambiguated ID Type / Status
Subject Shilin District E313956 entity
Predicate borders P224 FINISHED
Object Zhongshan District E346183 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: Zhongshan District | Statement: [Shilin District, borders, Zhongshan District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zhongshan District
Context triple: [Shilin District, borders, Zhongshan District]
  • A. Zhongshan District chosen
    Zhongshan District is a central urban district of Taipei, Taiwan, known for its mix of commercial areas, residential neighborhoods, and cultural attractions.
  • B. Zhongshan District
    Zhongshan District is a central urban district of Dalian, China, known for its commercial centers, historic architecture, and coastal scenery.
  • C. Tianhe District
    Tianhe District is a major urban and commercial hub of Guangzhou, China, known for its skyscrapers, shopping centers, and the city’s central business district.
  • D. 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.
  • E. Huangpu District
    Huangpu District is an eastern urban district of Guangzhou, China, known as a major industrial and technological hub that includes the Guangzhou Development District and key port facilities.
  • 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_69d806ae1e08819090d95bfe1538cc17 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c600ab48190bcf84aaf5846fb4b completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1b143388190a6bed8e21105a406 completed May 6, 2026, 8:16 p.m.
Created at: April 9, 2026, 9:15 p.m.