Triple

T23259442
Position Surface form Disambiguated ID Type / Status
Subject Seorae Village E581962 entity
Predicate culturalIdentity P958 FINISHED
Object French quarter of Seoul NE NERFINISHED

How this triple was built (3 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: French quarter of Seoul | Statement: [Seorae Village, culturalIdentity, French quarter of Seoul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: French quarter of Seoul
Context triple: [Seorae Village, culturalIdentity, French quarter of Seoul]
  • A. Gwangalli neighborhood
    Gwangalli neighborhood is a coastal district in Busan, South Korea, known for its vibrant nightlife, cafes, and scenic views of Gwangandaegyo Bridge along the waterfront.
  • B. Seomyeon commercial district
    Seomyeon commercial district is one of Busan’s busiest downtown areas, known for its dense concentration of shops, restaurants, nightlife, and entertainment venues.
  • C. Dongdaemun area
    The Dongdaemun area is a major commercial and cultural district in central Seoul, known for its large fashion markets, shopping complexes, and modern landmarks.
  • D. Jongno-gu, Seoul
    Jongno-gu, Seoul is a central district of South Korea’s capital city known as a historic, political, and cultural hub that hosts major government institutions and heritage sites.
  • E. Kangbuk-gu, Seoul
    Kangbuk-gu, Seoul is a northern district of South Korea’s capital city known for its residential neighborhoods, mountainous landscapes, and cultural sites.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: French quarter of Seoul
Target entity description: The French quarter of Seoul is a neighborhood known for its concentration of French expatriates, schools, bakeries, and cafes that give it a distinct European atmosphere within the city.
  • A. Gwangalli neighborhood
    Gwangalli neighborhood is a coastal district in Busan, South Korea, known for its vibrant nightlife, cafes, and scenic views of Gwangandaegyo Bridge along the waterfront.
  • B. Seomyeon commercial district
    Seomyeon commercial district is one of Busan’s busiest downtown areas, known for its dense concentration of shops, restaurants, nightlife, and entertainment venues.
  • C. Dongdaemun area
    The Dongdaemun area is a major commercial and cultural district in central Seoul, known for its large fashion markets, shopping complexes, and modern landmarks.
  • D. Jongno-gu, Seoul
    Jongno-gu, Seoul is a central district of South Korea’s capital city known as a historic, political, and cultural hub that hosts major government institutions and heritage sites.
  • E. Kangbuk-gu, Seoul
    Kangbuk-gu, Seoul is a northern district of South Korea’s capital city known for its residential neighborhoods, mountainous landscapes, and cultural sites.
  • F. None of above. chosen

Provenance (2 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_69e246079f58819085eaa9c260906880 completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f194c7ec148190b01fd215a0c1daa1 completed April 29, 2026, 5:19 a.m.
Created at: April 17, 2026, 4:11 p.m.