Triple

T7978044
Position Surface form Disambiguated ID Type / Status
Subject なんばマルイ E185495 entity
Predicate 所有者 P347 FINISHED
Object 丸井グループ E187122 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: 丸井グループ | Statement: [なんばマルイ, 所有者, 丸井グループ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 丸井グループ
Context triple: [なんばマルイ, 所有者, 丸井グループ]
  • A. Marui Group chosen
    Marui Group is a Japanese retail and financial services company best known for operating fashion-oriented department stores and providing credit card and related consumer finance services.
  • B. Asahi Group Holdings
    Asahi Group Holdings is a major Japanese beverage and food company best known globally for its beer brands and international brewery acquisitions.
  • C. Odakyu Group
    Odakyu Group is a major Japanese private railway and diversified corporate group centered around Odakyu Electric Railway, operating transportation, retail, real estate, and leisure businesses.
  • D. Keihan Group
    Keihan Group is a Japanese corporate conglomerate centered on the Keihan Electric Railway that operates transportation, real estate, retail, and leisure businesses in the Kansai region.
  • E. Seibu Group
    Seibu Group is a major Japanese conglomerate with core businesses in railways, hotels, real estate, and leisure services.
  • 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_69ca829851908190b4e03829353ee7c3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3bf84b1081908e60a556d984aad6 completed March 31, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc5677968881908835169157244962 completed March 31, 2026, 11:19 p.m.
Created at: March 30, 2026, 5:14 p.m.