Triple

T7978060
Position Surface form Disambiguated ID Type / Status
Subject なんばマルイ E185495 entity
Predicate 対象顧客層 P481 FINISHED
Object 若者 LITERAL 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: 若者 | Statement: [なんばマルイ, 対象顧客層, 若者]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 対象顧客層
Context triple: [なんばマルイ, 対象顧客層, 若者]
  • A. targetMarket chosen
    Indicates the group of consumers or organizations that a product, service, or campaign is specifically intended and designed to reach.
  • B. targetBorrowers
    Indicates that certain entities are the intended or eligible recipients of a loan or borrowing arrangement from another entity.
  • C. majorCustomer
    Indicates that one entity is a primary or high-value customer of another entity, typically contributing a significant portion of business or revenue.
  • D. customerType
    Indicates the classification or category assigned to a customer based on their characteristics, status, or relationship with a business.
  • E. incomeTargetingRequirement
    Indicates that a condition or rule specifies required income levels or ranges that must be met for eligibility or targeting purposes.
  • F. None of above.

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.
PD Predicate disambiguation batch_69cb047a8e4c81909b79e0f0bf56440c completed March 30, 2026, 11:17 p.m.
Created at: March 30, 2026, 5:14 p.m.