Triple

T9884310
Position Surface form Disambiguated ID Type / Status
Subject Songjeong Beach E180891 entity
Predicate comparedTo P278 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: [Songjeong Beach, comparedTo, Haeundae Beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haeundae Beach
Context triple: [Songjeong Beach, comparedTo, 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_69ca828082cc8190a40f8d299caa6545 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb45549488190833200977d558e47 completed April 2, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1eaf0afcc81908d263df7651958e2 completed April 5, 2026, 4:54 a.m.
Created at: March 30, 2026, 8:38 p.m.