Triple

T11696032
Position Surface form Disambiguated ID Type / Status
Subject Marine City E277995 entity
Predicate hasNearbyAttraction P2064 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: [Marine City, hasNearbyAttraction, Haeundae Beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haeundae Beach
Context triple: [Marine City, hasNearbyAttraction, 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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a47cef60819088b7cc3a3a711e4c completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef833084988190b5004c93f68dc628 completed April 27, 2026, 3:39 p.m.
Created at: April 8, 2026, 9:40 p.m.