Triple

T22555451
Position Surface form Disambiguated ID Type / Status
Subject Nhat Le River E557667 entity
Predicate near P350 FINISHED
Object Dong Hoi Beach 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: Dong Hoi Beach | Statement: [Nhat Le River, near, Dong Hoi Beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dong Hoi Beach
Context triple: [Nhat Le River, near, Dong Hoi Beach]
  • A. Long Thủy Beach
    Long Thủy Beach is a scenic coastal destination in Vietnam known for its calm blue waters, gentle waves, and relaxed local fishing-village atmosphere.
  • B. Cua Dai Beach
    Cua Dai Beach is a popular white-sand coastal destination in central Vietnam known for its palm-lined shoreline and proximity to the historic town of Hoi An.
  • C. Bao Ninh Beach chosen
    Bao Ninh Beach is a coastal tourist beach near Đồng Hới in central Vietnam, known for its long sandy shoreline and views of the East Sea.
  • D. Tran Phu Beach
    Tran Phu Beach is a popular central beachfront in Nha Trang, Vietnam, known for its long sandy shoreline, palm-lined promenade, and vibrant tourist atmosphere.
  • E. Tuy Hòa Beach
    Tuy Hòa Beach is a long, tranquil stretch of coastline in south-central Vietnam known for its gentle waves, clean sands, and relatively undeveloped, laid-back atmosphere.
  • 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_69e11e59db848190b4272ecd2b690ffd completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f78d8288190871d54db0a7f454b completed April 29, 2026, 1:31 a.m.
Created at: April 16, 2026, 8:52 p.m.