Triple

T8437726
Position Surface form Disambiguated ID Type / Status
Subject Haeundae District E199270 entity
Predicate hasBeach P1922 FINISHED
Object Haeundae Beach E30649 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: Haeundae Beach | Statement: [Haeundae District, hasBeach, Haeundae Beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haeundae Beach
Context triple: [Haeundae District, hasBeach, Haeundae Beach]
  • A. Haeundae Beach chosen
    Haeundae Beach is a famous and popular sandy beach in Busan, South Korea, renowned for its vibrant seaside atmosphere, festivals, and coastal skyline.
  • B. Songdo Beach
    Songdo Beach is a popular seaside destination in Busan, South Korea, known as the country’s first public beach and a hub for coastal recreation and cultural events.
  • C. Gwangalli Beach
    Gwangalli Beach is a popular urban beach in Busan, South Korea, famed for its fine sand, vibrant nightlife, and panoramic views of the illuminated Gwangan Bridge.
  • D. Songjeong Beach
    Songjeong Beach is a popular sandy beach in Busan, South Korea, known for its gentle waves, surfing spots, and relaxed atmosphere compared to the city's more crowded urban beaches.
  • E. Busan waterfront
    The Busan waterfront is a bustling coastal area in South Korea’s second-largest city, known for its busy port, seafood markets, and scenic seaside promenades.
  • 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_69ca8314cd6c8190a6b8c2a1096e18f3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe13446788190ad52a4fd6e8b498a completed March 31, 2026, 2:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4dc163488190a53d8696fdba94b5 completed April 2, 2026, 11:06 a.m.
Created at: March 30, 2026, 6:08 p.m.