Triple

T5980110
Position Surface form Disambiguated ID Type / Status
Subject Pyongyang Metro E133097 entity
Predicate hasStation P35 FINISHED
Object Kaeson Station
Kaeson Station is a notable stop on Pyongyang’s metro system, known for its grand socialist-realist decor and proximity to the Arch of Triumph.
 E558542 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: Kaeson Station | Statement: [Pyongyang Metro, hasStation, Kaeson Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kaeson Station
Context triple: [Pyongyang Metro, hasStation, Kaeson Station]
  • A. Evka-3 station
    Evka-3 station is a major terminal stop on the İzmir Metro system serving the Bornova district of İzmir, Turkey.
  • B. Solsidan station
    Solsidan station is a railway stop on Stockholm’s Saltsjöbanan suburban rail line serving the Solsidan residential area in the municipality of Nacka, Sweden.
  • C. Moss Station
    Moss Station is a railway station serving the town of Moss in Viken county, Norway, as part of the country’s intercity and regional rail network.
  • D. Clavius Base
    Clavius Base is a production company associated with the film "That Thing You Do!" and other entertainment projects.
  • E. Akard station
    Akard station is a Dallas Area Rapid Transit (DART) light rail station serving the central business district of downtown Dallas, Texas.
  • 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: Kaeson Station
Triple: [Pyongyang Metro, hasStation, Kaeson Station]
Generated description
Kaeson Station is a notable stop on Pyongyang’s metro system, known for its grand socialist-realist decor and proximity to the Arch of Triumph.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kaeson Station
Target entity description: Kaeson Station is a notable stop on Pyongyang’s metro system, known for its grand socialist-realist decor and proximity to the Arch of Triumph.
  • A. Evka-3 station
    Evka-3 station is a major terminal stop on the İzmir Metro system serving the Bornova district of İzmir, Turkey.
  • B. Solsidan station
    Solsidan station is a railway stop on Stockholm’s Saltsjöbanan suburban rail line serving the Solsidan residential area in the municipality of Nacka, Sweden.
  • C. Moss Station
    Moss Station is a railway station serving the town of Moss in Viken county, Norway, as part of the country’s intercity and regional rail network.
  • D. Clavius Base
    Clavius Base is a production company associated with the film "That Thing You Do!" and other entertainment projects.
  • E. Akard station
    Akard station is a Dallas Area Rapid Transit (DART) light rail station serving the central business district of downtown Dallas, Texas.
  • 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_69c0e41d23848190bc7835eb6313b6a5 completed March 23, 2026, 6:56 a.m.
NEDg Description generation batch_69c0e6b43d008190b4a1653fe7a07dc9 completed March 23, 2026, 7:07 a.m.
NED2 Entity disambiguation (via description) batch_69c0eaafaf7c8190875bf892765664f1 completed March 23, 2026, 7:24 a.m.
Created at: March 22, 2026, 4:04 p.m.