Triple

T8146470
Position Surface form Disambiguated ID Type / Status
Subject Busan Harbor Bridge E190223 entity
Predicate crosses P416 FINISHED
Object Busan Harbor E704893 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 Harbor | Statement: [Busan Harbor Bridge, crosses, Busan Harbor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Busan Harbor
Context triple: [Busan Harbor Bridge, crosses, Busan Harbor]
  • A. Busan South Port
    Busan South Port is a major harbor area in Busan, South Korea, serving as an important hub for maritime trade and transportation.
  • B. Gunsan Port
    Gunsan Port is a major seaport in Gunsan, South Korea, serving as an important hub for regional trade and maritime transport.
  • C. 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.
  • D. Namhang Harbor chosen
    Namhang Harbor is a coastal port area known as a key maritime and industrial hub in Busan, South Korea.
  • E. 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.
  • 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_69ca82be7ba8819087de0147e9292c83 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4447dbc48190affb0f34f6c85f5a completed March 31, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce6ca1110c8190b72a2a573ddab06d completed April 2, 2026, 1:18 p.m.
Created at: March 30, 2026, 5:36 p.m.