Triple

T6696978
Position Surface form Disambiguated ID Type / Status
Subject Jung District E152773 entity
Predicate contains P35 FINISHED
Object Yeongjong Island E148685 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: Yeongjong Island | Statement: [Jung District, contains, Yeongjong Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yeongjong Island
Context triple: [Jung District, contains, Yeongjong Island]
  • A. Yeongjong Island chosen
    Yeongjong Island is a major island off the coast of Incheon, South Korea, best known as the site of Incheon International Airport, the country’s primary international gateway.
  • B. Ganghwa Island
    Ganghwa Island is a historically significant and strategically located island off Korea’s west coast, known for its cultural heritage sites and role in past military conflicts.
  • C. Yeouido Island
    Yeouido Island is a major island on the Han River in Seoul, South Korea, known as the country’s financial and political hub and a popular leisure and cherry blossom destination.
  • D. Cijin Island
    Cijin Island is a popular coastal district of Kaohsiung known for its beaches, seafood, historic lighthouse, and seaside promenade.
  • E. Dongbaekseom Island
    Dongbaekseom Island is a small scenic island-park in Busan, South Korea, known for its coastal walking trails, camellia trees, and panoramic views of the city and sea.
  • 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_69c6880687b08190805278b504d1c92c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d0a4da9881908d79c410b4cff868 completed March 27, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7007f2a648190a10792840536035b completed March 27, 2026, 10:11 p.m.
Created at: March 27, 2026, 2:05 p.m.