Triple

T14886567
Position Surface form Disambiguated ID Type / Status
Subject Jongno District E350135 entity
Predicate contains P35 FINISHED
Object Jonggak Station E541701 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: Jonggak Station | Statement: [Jongno District, contains, Jonggak Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jonggak Station
Context triple: [Jongno District, contains, Jonggak Station]
  • A. Jonggak Station chosen
    Jonggak Station is a major Seoul Metropolitan Subway station in central Seoul, South Korea, serving the bustling Jongno business and shopping district.
  • B. 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.
  • C. Beomgye Station
    Beomgye Station is a subway station in Anyang, South Korea, serving as a local transit hub on the Seoul metropolitan rail 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. 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_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5f5b1c88190815f3585770cb135 completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe72aedae081909616f4aca3a44c92 completed May 8, 2026, 11:33 p.m.
Created at: April 10, 2026, 1:56 a.m.