Triple

T16047155
Position Surface form Disambiguated ID Type / Status
Subject Shichahai E389251 entity
Predicate near P350 FINISHED
Object Beihai Park E318835 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: Beihai Park | Statement: [Shichahai, near, Beihai Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beihai Park
Context triple: [Shichahai, near, Beihai Park]
  • A. Beihai Park chosen
    Beihai Park is a historic imperial garden and public park in central Beijing, renowned for its large lake, traditional Chinese architecture, and iconic White Dagoba.
  • B. Fuxing Park
    Fuxing Park is a historic European-style public park in Shanghai known for its landscaped gardens, open plazas, and lively local social scene.
  • C. Jingshan Park
    Jingshan Park is a historic imperial garden and scenic hilltop park in central Beijing, offering panoramic views over the Forbidden City and the surrounding cityscape.
  • D. Nie Er Park
    Nie Er Park is a memorial park in Yuxi, China, dedicated to composer Nie Er, best known for writing the music of China’s national anthem.
  • E. Yao Garden
    Yao Garden is a Japanese-inspired garden within the Bellevue Botanical Garden that showcases traditional design elements, serene plantings, and seasonal color.
  • 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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1835eda348190aff492f0ff668cce completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbddc25481908fca660c4f14eaff completed May 10, 2026, 1:14 a.m.
Created at: April 10, 2026, 4:56 a.m.