Triple

T19116995
Position Surface form Disambiguated ID Type / Status
Subject AREX E467931 entity
Predicate hasStation P35 FINISHED
Object Yeongjong Station NE NERFINISHED

How this triple was built (3 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 Station | Statement: [AREX, hasStation, Yeongjong Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yeongjong Station
Context triple: [AREX, hasStation, Yeongjong Station]
  • A. Yeonsu Station
    Yeonsu Station is a subway station in Incheon, South Korea, serving the Yeonsu District on the Incheon Subway Line 1.
  • B. Kwangmyong Station
    Kwangmyong Station is a stop on the Pyongyang Metro system in North Korea’s capital city.
  • C. Myeongnyun Station
    Myeongnyun Station is a metro station in Busan, South Korea, serving the Dongnae District on the Busan Metro network.
  • D. Yangjae Station
    Yangjae Station is a major subway station in southern Seoul, South Korea, serving as an important transit hub on multiple lines within the city’s metro network.
  • E. Sangnoksu Station
    Sangnoksu Station is a subway station in Ansan, South Korea, serving as part of the Seoul Metropolitan Subway network.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Yeongjong Station
Target entity description: Yeongjong Station is a railway station in Incheon, South Korea, serving the Airport Railroad Express (AREX) line that connects central Seoul with Incheon International Airport.
  • A. Yeonsu Station
    Yeonsu Station is a subway station in Incheon, South Korea, serving the Yeonsu District on the Incheon Subway Line 1.
  • B. Kwangmyong Station
    Kwangmyong Station is a stop on the Pyongyang Metro system in North Korea’s capital city.
  • C. Myeongnyun Station
    Myeongnyun Station is a metro station in Busan, South Korea, serving the Dongnae District on the Busan Metro network.
  • D. Yangjae Station
    Yangjae Station is a major subway station in southern Seoul, South Korea, serving as an important transit hub on multiple lines within the city’s metro network.
  • E. Sangnoksu Station
    Sangnoksu Station is a subway station in Ansan, South Korea, serving as part of the Seoul Metropolitan Subway network.
  • F. None of above. chosen

Provenance (2 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_69d8dd06a26481908039e2a1bae8c597 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e399a6d8819090a9501ff1637b9d completed April 20, 2026, 8:28 a.m.
Created at: April 10, 2026, 12:05 p.m.