Triple

T6757628
Position Surface form Disambiguated ID Type / Status
Subject Gukje Market E154501 entity
Predicate near P350 FINISHED
Object BIFF Square E152347 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: BIFF Square | Statement: [Gukje Market, near, BIFF Square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BIFF Square
Context triple: [Gukje Market, near, BIFF Square]
  • A. BIFF Square chosen
    BIFF Square is a popular cultural and entertainment district in Busan, South Korea, known for its film festival venues, street food, and shopping streets.
  • B. BIFF Theater
    BIFF Theater is the main open-air screening venue of the Busan International Film Festival, located within the Busan Cinema Center in South Korea.
  • C. Livu Square
    Livu Square is a popular public square in Riga’s Old Town known for its lively atmosphere, historic surroundings, and numerous cafes and events.
  • D. Bayi Square
    Bayi Square is a major public square and symbolic civic center in Nanchang, China, known for its historical and cultural significance.
  • E. Cosmosquare
    Cosmosquare is a waterfront district in Osaka, Japan, known for its modern urban development and proximity to major attractions like the Osaka Aquarium and Tempozan Harbor Village.
  • 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_69c6880fd5808190be684854081e27dd completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1f76c9c81908c213772a54f1352 completed March 27, 2026, 6:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69c712ad568c8190bc82f6149c22273a completed March 27, 2026, 11:28 p.m.
Created at: March 27, 2026, 2:11 p.m.