Triple

T7921384
Position Surface form Disambiguated ID Type / Status
Subject Yeongdo Lighthouse E183951 entity
Predicate locatedNear P294 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: [Yeongdo Lighthouse, locatedNear, Busan Harbor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Busan Harbor
Context triple: [Yeongdo Lighthouse, locatedNear, 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_69ca828efbe48190bd48482650182e79 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a9499cc8190b6bd81f4625c77ab completed March 31, 2026, 3:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbde69b608190a49d93c04c46787d completed April 1, 2026, 6:40 a.m.
Created at: March 30, 2026, 5:06 p.m.