Triple

T14886543
Position Surface form Disambiguated ID Type / Status
Subject Jongno District E350135 entity
Predicate contains P35 FINISHED
Object Samcheong-dong E552503 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: Samcheong-dong | Statement: [Jongno District, contains, Samcheong-dong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samcheong-dong
Context triple: [Jongno District, contains, Samcheong-dong]
  • A. Samcheong-dong chosen
    Samcheong-dong is a picturesque neighborhood in central Seoul known for its traditional hanok houses, art galleries, cafes, and proximity to historic palaces.
  • B. Samseong-dong
    Samseong-dong is a prominent neighborhood in Seoul, South Korea, known for its upscale shopping, business centers, and major landmarks like COEX Mall.
  • C. Samseon-dong
    Samseon-dong is a neighborhood (dong) in northern Seoul, South Korea, known as a residential area within the city's Seongbuk District.
  • D. Seongho-dong
    Seongho-dong is a neighborhood (dong) within the city of Osan in Gyeonggi Province, South Korea.
  • E. Cheonghak-dong
    Cheonghak-dong is a neighborhood (dong) located within Dong-gu, one of the central districts of 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_69ffbe60d4a08190833397c75b56932c completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 1:56 a.m.