Triple

T241605
Position Surface form Disambiguated ID Type / Status
Subject Amazon E4942 entity
Predicate hasDivision P35 FINISHED
Object Amazon Advertising E4942 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: Amazon Advertising | Statement: [Amazon, hasDivision, Amazon Advertising]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amazon Advertising
Context triple: [Amazon, hasDivision, Amazon Advertising]
  • A. Amazon chosen
    Amazon is a multinational technology and e-commerce company best known for its vast online marketplace, cloud computing services through AWS, and significant influence on global retail and logistics.
  • B. Google Ad Manager
    Google Ad Manager is Google's unified advertising platform that helps publishers manage, serve, and optimize digital ads across web, app, and video inventory.
  • C. ADS
    ADS is the stock ticker symbol under which the global sportswear company Adidas is traded on the Frankfurt Stock Exchange.
  • D. Google Marketing Platform
    Google Marketing Platform is Google's integrated suite of advertising and analytics tools that helps businesses plan, buy, measure, and optimize digital marketing campaigns across channels.
  • E. DART for Advertisers
    DART for Advertisers is an online ad-serving and campaign management platform that enabled advertisers to create, target, deliver, and track digital advertising across websites.
  • 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_69a257c3d0708190b0871c4269d273e6 completed Feb. 28, 2026, 2:49 a.m.
NER Named-entity recognition batch_69a25cee6f208190b996be4faa700910 completed Feb. 28, 2026, 3:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69a36960563881908ef098239cd87291 completed Feb. 28, 2026, 10:17 p.m.
Created at: Feb. 28, 2026, 2:53 a.m.