Triple

T6757569
Position Surface form Disambiguated ID Type / Status
Subject Busan waterfront E154500 entity
Predicate partOf P40 FINISHED
Object Busan Port E491584 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: Busan Port | Statement: [Busan waterfront, partOf, Busan Port]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Busan Port
Context triple: [Busan waterfront, partOf, Busan Port]
  • A. Incheon Port
    Incheon Port is a major seaport in Incheon, South Korea, serving as a key gateway for international trade and maritime transport near the capital Seoul.
  • B. 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.
  • C. Jangsaengpo Port
    Jangsaengpo Port is a coastal port area in Ulsan, South Korea, historically known for its whaling industry and now a hub for marine tourism.
  • D. Port of Busan New Port chosen
    Port of Busan New Port is a major deep-water container terminal complex in South Korea that serves as a key transshipment hub in the Asia-Pacific region.
  • E. Dongdu Port Area
    Dongdu Port Area is a major terminal zone within the Port of Xiamen, serving as a key hub for cargo handling and maritime trade in southeastern China.
  • 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.