Triple

T12729167
Position Surface form Disambiguated ID Type / Status
Subject Liupanshui E304185 entity
Predicate hasSubdivision P747 FINISHED
Object Zhongshan District E763841 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: [Liupanshui, hasSubdivision, Zhongshan District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zhongshan District
Context triple: [Liupanshui, hasSubdivision, Zhongshan District]
  • A. Zhongshan District
    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 chosen
    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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d964172490819080cd022ff8290b6e completed April 10, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76b96f72881909090691e99bb2425 completed May 3, 2026, 3:36 p.m.
Created at: April 9, 2026, 5:25 p.m.