Triple

T5051458
Position Surface form Disambiguated ID Type / Status
Subject Asia-Pacific ports E113794 entity
Predicate hasPart P35 FINISHED
Object Port of Busan E198602 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: Port of Busan | Statement: [Asia-Pacific ports, hasPart, Port of Busan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Busan
Context triple: [Asia-Pacific ports, hasPart, Port of Busan]
  • A. Jeju Port
    Jeju Port is a major maritime gateway on South Korea’s Jeju Island, serving as a key hub for passenger ferries, cargo shipping, and regional tourism.
  • B. Busan
    Busan is South Korea’s second-largest city and a major international port known for its bustling harbor, beaches, and coastal scenery.
  • C. Ulsan
    Ulsan is a major industrial city in southeastern South Korea, known for its large automobile, shipbuilding, and petrochemical complexes.
  • D. Busan International Ferry Terminal chosen
    Busan International Ferry Terminal is a major passenger and vehicle port in Busan, South Korea, providing international ferry connections to destinations such as Japan.
  • E. Pangaeum
    Pangaeum was the ancient name for Mount Pangaion, a historically significant mountain in northern Greece famed in antiquity for its rich gold and silver mines and its role in regional conflicts and trade.
  • 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_69bd443aa1f88190abb992d138f2cf42 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7426fc8081908a8227f73168c235 completed March 20, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69bea483b6cc8190b3b48598a291d708 completed March 21, 2026, 2 p.m.
Created at: March 20, 2026, 1:37 p.m.