Triple

T5653115
Position Surface form Disambiguated ID Type / Status
Subject Frei Station E124552 entity
Predicate hasNearbyBase P26804 FINISHED
Object King Sejong Station E119817 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: King Sejong Station | Statement: [Frei Station, hasNearbyBase, King Sejong Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: King Sejong Station
Context triple: [Frei Station, hasNearbyBase, King Sejong Station]
  • A. Korean King Sejong Station chosen
    Korean King Sejong Station is a South Korean Antarctic research base on King George Island that supports scientific studies in fields such as glaciology, meteorology, and marine biology.
  • B. Yeonsan Station
    Yeonsan Station is a major transit hub in Busan, South Korea, serving as an important interchange point on the city’s subway network.
  • C. Seoul Station
    Seoul Station is a major railway and transportation hub in central Seoul, South Korea, serving high-speed, intercity, and commuter trains as well as multiple subway lines.
  • D. Yeouido Station
    Yeouido Station is a major Seoul Metropolitan Subway station on Yeouido Island that serves as a key transit hub for the city’s financial and business district.
  • E. Daejeon Station
    Daejeon Station is a major railway hub in central South Korea, serving high-speed KTX trains and connecting Daejeon to key cities nationwide.
  • 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_69c00825df388190a58742fa9b1aa33d completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c022d8a2588190b10de59edbc8841f completed March 22, 2026, 5:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07db9fbec81908f3a87b5304f5ad8 completed March 22, 2026, 11:39 p.m.
Created at: March 22, 2026, 3:42 p.m.