Triple

T21452891
Position Surface form Disambiguated ID Type / Status
Subject Baoan District E529262 entity
Predicate borderedBy P224 FINISHED
Object Longhua District NE NERFINISHED

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: Longhua District | Statement: [Baoan District, borderedBy, Longhua District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Longhua District
Context triple: [Baoan District, borderedBy, Longhua District]
  • A. Longhua District chosen
    Longhua District is a major urban district in the northern part of Shenzhen, China, known for its rapid development, residential communities, and industrial and commercial hubs.
  • B. Longhua District
    Longhua District is a central urban district of Haikou City in Hainan Province, China, known for its commercial activity and dense residential areas.
  • C. Guishan District
    Guishan District is an urban district in Taoyuan City, Taiwan, known for its mix of residential areas, industrial zones, and educational institutions.
  • D. Fushan District
    Fushan District is an urban administrative district of Yantai in Shandong Province, eastern China, known for its coastal location and industrial and residential development.
  • E. Yinhai District
    Yinhai District is an urban district of Beihai City in Guangxi, China, known for its coastal location and role in the city's economic and administrative activities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c457579481909db68053ed99750c completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9d426d88190ae87ae9fac9c30a0 completed April 23, 2026, 9:43 a.m.
Created at: April 16, 2026, 6:07 p.m.