Triple

T22963182
Position Surface form Disambiguated ID Type / Status
Subject Cijin Island E570962 entity
Predicate hasFeature P182 FINISHED
Object Cijin Old Street 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: Cijin Old Street | Statement: [Cijin Island, hasFeature, Cijin Old Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cijin Old Street
Context triple: [Cijin Island, hasFeature, Cijin Old Street]
  • A. 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.
  • B. Sinchon shopping district
    Sinchon shopping district is a bustling commercial and entertainment area in western Seoul known for its youth-oriented shops, restaurants, and nightlife centered around nearby universities.
  • C. Hongdae Walking Street
    Hongdae Walking Street is a vibrant pedestrian area in Seoul known for its indie music scene, street performances, nightlife, and youth culture centered around Hongik University.
  • D. Munjeong-dong Rodeo Street
    Munjeong-dong Rodeo Street is a popular shopping district in Seoul known for its numerous fashion outlets, boutiques, and trendy cafes.
  • E. Jongno shopping streets
    Jongno shopping streets are a bustling traditional and modern commercial district in central Seoul, known for their mix of historic shops, street food, and cultural attractions.
  • 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: Cijin Old Street
Target entity description: Cijin Old Street is a historic and bustling market street on Cijin Island in Kaohsiung, Taiwan, known for its traditional snacks, seafood, and old-town atmosphere.
  • A. 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.
  • B. Sinchon shopping district
    Sinchon shopping district is a bustling commercial and entertainment area in western Seoul known for its youth-oriented shops, restaurants, and nightlife centered around nearby universities.
  • C. Hongdae Walking Street
    Hongdae Walking Street is a vibrant pedestrian area in Seoul known for its indie music scene, street performances, nightlife, and youth culture centered around Hongik University.
  • D. Munjeong-dong Rodeo Street
    Munjeong-dong Rodeo Street is a popular shopping district in Seoul known for its numerous fashion outlets, boutiques, and trendy cafes.
  • E. Jongno shopping streets
    Jongno shopping streets are a bustling traditional and modern commercial district in central Seoul, known for their mix of historic shops, street food, and cultural attractions.
  • 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_69e245b212a88190b5259caf51606084 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f181f66fbc8190a4a7b73d17537132 completed April 29, 2026, 3:58 a.m.
Created at: April 17, 2026, 3:47 p.m.