Triple

T14886582
Position Surface form Disambiguated ID Type / Status
Subject Jongno District E350135 entity
Predicate namedAfter P63 FINISHED
Object Jongno (Bell Street) E533621 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: Jongno (Bell Street) | Statement: [Jongno District, namedAfter, Jongno (Bell Street)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jongno (Bell Street)
Context triple: [Jongno District, namedAfter, Jongno (Bell Street)]
  • A. Seomyeon 1st Street
    Seomyeon 1st Street is a popular shopping and entertainment district in Busan, South Korea, known for its dense concentration of shops, cafes, restaurants, and nightlife.
  • B. Munsu Street
    Munsu Street is a major thoroughfare in Pyongyang, North Korea, known for hosting prominent political monuments and state landmarks.
  • C. Gwangbok-dong shopping street
    Gwangbok-dong shopping street is a popular commercial district in Busan, South Korea, known for its bustling pedestrian-friendly avenues lined with fashion boutiques, cafes, and local shops.
  • D. Jongno 1-ga chosen
    Jongno 1-ga is a central neighborhood in Seoul, South Korea, known for its historic streets, traditional markets, and proximity to major cultural and governmental landmarks.
  • E. Cheongnyong-dong
    Cheongnyong-dong is a neighborhood located within Geumjeong District in Busan, South Korea.
  • 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_69fe6b5f22c08190a9530cbd78cfc801 completed May 8, 2026, 11:01 p.m.
Created at: April 10, 2026, 1:56 a.m.