Triple

T7128920
Position Surface form Disambiguated ID Type / Status
Subject Ongjin County E166135 entity
Predicate hasPart P35 FINISHED
Object Yeonpyeongdo E518830 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: Yeonpyeongdo | Statement: [Ongjin County, hasPart, Yeonpyeongdo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yeonpyeongdo
Context triple: [Ongjin County, hasPart, Yeonpyeongdo]
  • A. Yeonpyeong Island chosen
    Yeonpyeong Island is a South Korean island in the Yellow Sea near the maritime border with North Korea, known for its strategic military significance and past naval clashes between the two Koreas.
  • B. Gadeokdo Island
    Gadeokdo Island is a large island off the coast of Busan, South Korea, known for its strategic location, coastal scenery, and planned development as a major airport and logistics hub.
  • C. Ulleungdo
    Ulleungdo is a volcanic island in the East Sea of South Korea known for its rugged cliffs, clear waters, and unique natural scenery.
  • D. 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.
  • E. Yeongdo Island
    Yeongdo Island is a large island in Busan, South Korea, known for its coastal scenery, port facilities, and role as a historic maritime hub.
  • 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_69c6888350588190870cd552b427a1cd completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e66c87848190b0ffd08e3c3f4877 completed March 27, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a33bf244819096db1351ebf62413 completed March 28, 2026, 9:45 a.m.
Created at: March 27, 2026, 2:44 p.m.