Triple

T19280534
Position Surface form Disambiguated ID Type / Status
Subject Luohu District, Shenzhen E482174 entity
Predicate contains P35 FINISHED
Object Dongmen Commercial Area 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: Dongmen Commercial Area | Statement: [Luohu District, Shenzhen, contains, Dongmen Commercial Area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dongmen Commercial Area
Context triple: [Luohu District, Shenzhen, contains, Dongmen Commercial Area]
  • A. Dongmen Road commercial area
    Dongmen Road commercial area is a bustling shopping and business district in Tainan’s East District, known for its mix of traditional shops, local eateries, and modern retail outlets.
  • B. Chunxi Road commercial district
    Chunxi Road commercial district is a major shopping and entertainment hub in downtown Chengdu, known for its dense concentration of retail stores, restaurants, and vibrant pedestrian streets.
  • C. Dongzhimen commercial area
    Dongzhimen commercial area is a major shopping and business district in Beijing known for its retail centers, restaurants, and transport connectivity.
  • D. Zhongping Road commercial district
    Zhongping Road commercial district is a bustling shopping and dining area in Zhongli District, Taoyuan, known for its dense concentration of retail stores, eateries, and local street life.
  • E. Luohu commercial district
    Luohu commercial district is a major shopping and business hub in Shenzhen, known for its bustling malls, markets, and proximity to the Hong Kong border.
  • 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: Dongmen Commercial Area
Target entity description: Dongmen Commercial Area is one of Shenzhen’s oldest and busiest shopping districts, known for its dense network of pedestrian streets, bargain retail shops, and vibrant street food scene.
  • A. Dongmen Road commercial area
    Dongmen Road commercial area is a bustling shopping and business district in Tainan’s East District, known for its mix of traditional shops, local eateries, and modern retail outlets.
  • B. Chunxi Road commercial district
    Chunxi Road commercial district is a major shopping and entertainment hub in downtown Chengdu, known for its dense concentration of retail stores, restaurants, and vibrant pedestrian streets.
  • C. Dongzhimen commercial area
    Dongzhimen commercial area is a major shopping and business district in Beijing known for its retail centers, restaurants, and transport connectivity.
  • D. Zhongping Road commercial district
    Zhongping Road commercial district is a bustling shopping and dining area in Zhongli District, Taoyuan, known for its dense concentration of retail stores, eateries, and local street life.
  • E. Luohu commercial district
    Luohu commercial district is a major shopping and business hub in Shenzhen, known for its bustling malls, markets, and proximity to the Hong Kong border.
  • 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_69d8e8cf61b0819096fe3e4107827c4e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fbfdfaf481909e0434f33053cc62 completed April 20, 2026, 10:12 a.m.
Created at: April 10, 2026, 1:30 p.m.