Triple

T18534037
Position Surface form Disambiguated ID Type / Status
Subject Shenzhen Bay E452914 entity
Predicate hasPart P35 FINISHED
Object Shenzhen Bay Park 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: Shenzhen Bay Park | Statement: [Shenzhen Bay, hasPart, Shenzhen Bay Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shenzhen Bay Park
Context triple: [Shenzhen Bay, hasPart, Shenzhen Bay Park]
  • A. Shenzhen Bay Park chosen
    Shenzhen Bay Park is a coastal urban park in Shenzhen known for its scenic waterfront promenades, views of Shenzhen Bay and Hong Kong, and popular recreational spaces.
  • B. Yuexiu Park
    Yuexiu Park is a large, historic urban park in central Guangzhou, China, known for its scenic lakes, cultural relics, and the iconic Five Rams Statue.
  • C. Dongshan Lake Park
    Dongshan Lake Park is a scenic urban park in Guangzhou, China, known for its lakeside landscapes, walking paths, and recreational spaces amid the city.
  • D. Zhongshan Park
    Zhongshan Park is a public urban park in central Beijing known for its historical monuments, landscaped gardens, and proximity to the Forbidden City.
  • E. Zhongshan Park
    Zhongshan Park is a major urban park and commercial hub in Shanghai, China, known for its green spaces, shopping centers, and role as a key public transit interchange.
  • 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_69d8d387b5548190aa030dad2cb4947e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53400d548819080b17f30b3ee7174 completed April 19, 2026, 7:58 p.m.
Created at: April 10, 2026, 11:37 a.m.