Triple

T6535479
Position Surface form Disambiguated ID Type / Status
Subject BIFF Square E152347 entity
Predicate near P350 FINISHED
Object Nampo Station E157453 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: Nampo Station | Statement: [BIFF Square, near, Nampo Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nampo Station
Context triple: [BIFF Square, near, Nampo Station]
  • A. Nampo Station chosen
    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. 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.
  • 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. Kwangmyong Station
    Kwangmyong Station is a stop on the Pyongyang Metro system in North Korea’s capital city.
  • 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.
  • 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_69c688048ec8819093a47f7d332e12ec completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6adc05da88190b402085954cec8e0 completed March 27, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e41b0a8881908aebef421a6d403c completed March 27, 2026, 8:10 p.m.
Created at: March 27, 2026, 1:46 p.m.