Triple

T20103267
Position Surface form Disambiguated ID Type / Status
Subject Huizhou E496601 entity
Predicate hasTouristAttraction P530 FINISHED
Object Daya Bay 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: Daya Bay | Statement: [Huizhou, hasTouristAttraction, Daya Bay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daya Bay
Context triple: [Huizhou, hasTouristAttraction, Daya Bay]
  • A. Daya Bay chosen
    Daya Bay is a coastal bay in Guangdong Province, China, known for its industrial development, nuclear power station, and marine environment along the South China Sea.
  • B. Daya Bay coastal area
    Daya Bay coastal area is a scenic seaside region on the Dapeng Peninsula in Guangdong, China, known for its beaches, marine ecology, and coastal tourism.
  • C. Angra Bay
    Angra Bay is a natural harbor on Terceira Island in the Azores, Portugal, historically significant as a strategic Atlantic port and now known for its scenic coastal landscape.
  • D. Excelsior Bay
    Excelsior Bay is a popular and historically significant inlet on Lake Minnetonka in Minnesota, known for its boating, lakeside recreation, and proximity to the city of Excelsior.
  • E. Shimei Bay
    Shimei Bay is a scenic coastal bay in Wanning, Hainan, China, known for its clear waters, sandy beaches, and relatively undeveloped natural surroundings.
  • 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_69da626eee3881909f3454986d4a6511 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6667170a4819085d07a4188ded541 completed April 20, 2026, 5:46 p.m.
Created at: April 11, 2026, 11:27 p.m.