Triple

T6985419
Position Surface form Disambiguated ID Type / Status
Subject Haeundae Sand Festival E161948 entity
Predicate mainVenue P373 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 Sand Festival, mainVenue, Haeundae Beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haeundae Beach
Context triple: [Haeundae Sand Festival, mainVenue, 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_69c68855dc0481909b4c7e9e9ed273db completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db91fbc881908c26b7b991995062 completed March 27, 2026, 7:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7eebe7d008190990482c7d6b512f5 completed March 28, 2026, 3:07 p.m.
Created at: March 27, 2026, 2:31 p.m.