Triple

T19117234
Position Surface form Disambiguated ID Type / Status
Subject Line 6 E467936 entity
Predicate hasStation P35 FINISHED
Object Bonghwasan Station E1433954 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: Bonghwasan Station | Statement: [Line 6, hasStation, Bonghwasan Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bonghwasan Station
Context triple: [Line 6, hasStation, Bonghwasan Station]
  • A. Bonghwasan Station chosen
    Bonghwasan Station is a subway station in Seoul, South Korea, serving as the northeastern terminus of Seoul Subway Line 6.
  • B. Beomgye Station
    Beomgye Station is a subway station in Anyang, South Korea, serving as a local transit hub on the Seoul metropolitan rail network.
  • C. Jang Bogo Station
    Jang Bogo Station is a South Korean Antarctic research base located on the Scott Coast of Victoria Land, supporting studies in fields such as climate science, glaciology, and marine biology.
  • D. Bongcheon Station
    Bongcheon Station is a subway station on Seoul Subway Line 2 serving the Bongcheon-dong area in Seoul, South Korea.
  • E. Kwangmyong Station
    Kwangmyong Station is a stop on the Pyongyang Metro system in North Korea’s capital city.
  • 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_69d8dd06a26481908039e2a1bae8c597 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e399a6d8819090a9501ff1637b9d completed April 20, 2026, 8:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08acc36a288190ba1a5d610c365258 completed May 16, 2026, 5:43 p.m.
Created at: April 10, 2026, 12:05 p.m.