Triple

T5980119
Position Surface form Disambiguated ID Type / Status
Subject Pyongyang Metro E133097 entity
Predicate hasStation P35 FINISHED
Object Hwanggumbol Station
Hwanggumbol Station is a stop on the Pyongyang Metro system in North Korea, serving passengers on one of the capital’s underground lines.
E577478 NE FINISHED

How this triple was built (4 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: Hwanggumbol Station | Statement: [Pyongyang Metro, hasStation, Hwanggumbol Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hwanggumbol Station
Context triple: [Pyongyang Metro, hasStation, Hwanggumbol Station]
  • A. Kwangmyong Station
    Kwangmyong Station is a stop on the Pyongyang Metro system in North Korea’s capital city.
  • B. Jonggak Station
    Jonggak Station is a major Seoul Metropolitan Subway station in central Seoul, South Korea, serving the bustling Jongno business and shopping district.
  • C. Myeongnyun Station
    Myeongnyun Station is a metro station in Busan, South Korea, serving the Dongnae District on the Busan Metro network.
  • D. Jinju Station
    Jinju Station is a railway station in Jinju, South Korea, serving as a regional transportation hub connecting the city to other parts of the country.
  • E. Kwangbok Station
    Kwangbok Station is a stop on the Pyongyang Metro system in North Korea, serving passengers along one of the capital’s main underground transit lines.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hwanggumbol Station
Triple: [Pyongyang Metro, hasStation, Hwanggumbol Station]
Generated description
Hwanggumbol Station is a stop on the Pyongyang Metro system in North Korea, serving passengers on one of the capital’s underground lines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hwanggumbol Station
Target entity description: Hwanggumbol Station is a stop on the Pyongyang Metro system in North Korea, serving passengers on one of the capital’s underground lines.
  • A. Kwangmyong Station
    Kwangmyong Station is a stop on the Pyongyang Metro system in North Korea’s capital city.
  • B. Jonggak Station
    Jonggak Station is a major Seoul Metropolitan Subway station in central Seoul, South Korea, serving the bustling Jongno business and shopping district.
  • C. Myeongnyun Station
    Myeongnyun Station is a metro station in Busan, South Korea, serving the Dongnae District on the Busan Metro network.
  • D. Jinju Station
    Jinju Station is a railway station in Jinju, South Korea, serving as a regional transportation hub connecting the city to other parts of the country.
  • E. Kwangbok Station
    Kwangbok Station is a stop on the Pyongyang Metro system in North Korea, serving passengers along one of the capital’s main underground transit lines.
  • F. None of above. chosen

Provenance (5 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_69c0086f45e8819098f73dd16d45ec9d completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04a40233081909c04f62ec0382bfd completed March 22, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20d2e42c88190927bba51caec186f completed March 24, 2026, 4:03 a.m.
NEDg Description generation batch_69c2106f014c8190b94ea172db45f96f completed March 24, 2026, 4:17 a.m.
NED2 Entity disambiguation (via description) batch_69c210c35ecc8190b8c1c6e8ff7821d9 completed March 24, 2026, 4:19 a.m.
Created at: March 22, 2026, 4:04 p.m.