Triple

T5980112
Position Surface form Disambiguated ID Type / Status
Subject Pyongyang Metro E133097 entity
Predicate hasStation P35 FINISHED
Object Tongil Station
Tongil Station is a stop on the Pyongyang Metro system in North Korea’s capital city.
E566250 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: Tongil Station | Statement: [Pyongyang Metro, hasStation, Tongil Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tongil Station
Context triple: [Pyongyang Metro, hasStation, Tongil Station]
  • A. Nampo Station
    Nampo Station is a major subway station and commercial hub in central Busan, South Korea, known for its proximity to popular shopping streets and tourist attractions.
  • B. Dorasan Station
    Dorasan Station is a symbolic railway station in South Korea near the Demilitarized Zone, built as a hopeful future gateway for rail travel and trade between South and North Korea.
  • C. Askim Station
    Askim Station is a railway station serving the town of Askim in Viken county, Norway, on the Eastern Østfold Line.
  • D. Jagalchi Station
    Jagalchi Station is a subway station in Busan, South Korea, serving the bustling Jagalchi Fish Market area and nearby downtown attractions.
  • E. Sajik Station
    Sajik Station is a subway station in Busan, South Korea, serving the Dongnae District on the Busan Metro network.
  • 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: Tongil Station
Triple: [Pyongyang Metro, hasStation, Tongil Station]
Generated description
Tongil Station is a stop on the Pyongyang Metro system in North Korea’s capital city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tongil Station
Target entity description: Tongil Station is a stop on the Pyongyang Metro system in North Korea’s capital city.
  • A. Nampo Station
    Nampo Station is a major subway station and commercial hub in central Busan, South Korea, known for its proximity to popular shopping streets and tourist attractions.
  • B. Dorasan Station
    Dorasan Station is a symbolic railway station in South Korea near the Demilitarized Zone, built as a hopeful future gateway for rail travel and trade between South and North Korea.
  • C. Askim Station
    Askim Station is a railway station serving the town of Askim in Viken county, Norway, on the Eastern Østfold Line.
  • D. Jagalchi Station
    Jagalchi Station is a subway station in Busan, South Korea, serving the bustling Jagalchi Fish Market area and nearby downtown attractions.
  • E. Sajik Station
    Sajik Station is a subway station in Busan, South Korea, serving the Dongnae District on the Busan Metro network.
  • 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_69c11cd3988c8190aecc690a02c26c25 completed March 23, 2026, 10:58 a.m.
NEDg Description generation batch_69c11e4454948190a8f4643cb55e673a completed March 23, 2026, 11:04 a.m.
NED2 Entity disambiguation (via description) batch_69c11ec554688190bfe184608944a15e completed March 23, 2026, 11:06 a.m.
Created at: March 22, 2026, 4:04 p.m.