Triple

T17281426
Position Surface form Disambiguated ID Type / Status
Subject Higashiyama Line E419536 entity
Predicate serves P98 FINISHED
Object Sakae commercial district 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: Sakae commercial district | Statement: [Higashiyama Line, serves, Sakae commercial district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sakae commercial district
Context triple: [Higashiyama Line, serves, Sakae commercial district]
  • A. Tenjin commercial district
    The Tenjin commercial district is Fukuoka’s central downtown hub, renowned for its dense concentration of shopping malls, department stores, dining, and entertainment venues.
  • B. Marunouchi business district
    The Marunouchi business district is one of Tokyo’s premier commercial centers, known for its concentration of corporate headquarters, upscale offices, and proximity to Tokyo Station and the Imperial Palace.
  • C. Ebisu commercial district
    Ebisu commercial district is a popular Tokyo neighborhood known for its upscale shopping, dining, and nightlife centered around Ebisu Station.
  • D. Tsuruhashi shopping district
    Tsuruhashi shopping district is a bustling Osaka marketplace famous for its Korean cultural influence, barbecue restaurants, and dense network of traditional shops and food stalls.
  • E. Akabane commercial district
    The Akabane commercial district is a bustling shopping and entertainment area in Tokyo’s Kita Ward, known for its dense concentration of shops, restaurants, and nightlife spots catering to commuters and locals.
  • 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: Sakae commercial district
Target entity description: Sakae commercial district is a major shopping, entertainment, and business hub in central Nagoya, Japan.
  • A. Tenjin commercial district
    The Tenjin commercial district is Fukuoka’s central downtown hub, renowned for its dense concentration of shopping malls, department stores, dining, and entertainment venues.
  • B. Marunouchi business district
    The Marunouchi business district is one of Tokyo’s premier commercial centers, known for its concentration of corporate headquarters, upscale offices, and proximity to Tokyo Station and the Imperial Palace.
  • C. Ebisu commercial district
    Ebisu commercial district is a popular Tokyo neighborhood known for its upscale shopping, dining, and nightlife centered around Ebisu Station.
  • D. Tsuruhashi shopping district
    Tsuruhashi shopping district is a bustling Osaka marketplace famous for its Korean cultural influence, barbecue restaurants, and dense network of traditional shops and food stalls.
  • E. Akabane commercial district
    The Akabane commercial district is a bustling shopping and entertainment area in Tokyo’s Kita Ward, known for its dense concentration of shops, restaurants, and nightlife spots catering to commuters and locals.
  • 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_69d886da626481908a14ce7830329a35 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e4332a4c008190b44f4145d0e94a21 completed April 19, 2026, 1:43 a.m.
Created at: April 10, 2026, 5:40 a.m.