Triple

T122842
Position Surface form Disambiguated ID Type / Status
Subject Chromebook E2484 entity
Predicate integratesWith P1075 FINISHED
Object Gmail E2483 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: Gmail | Statement: [Chromebook, integratesWith, Gmail]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gmail
Context triple: [Chromebook, integratesWith, Gmail]
  • A. Gmail chosen
    Gmail is Google's widely used web-based email service known for its large storage capacity, powerful search, and integration with other Google products.
  • B. Google Account
    A Google Account is a unified user identity that provides access to Google's ecosystem of services and products, including email, cloud storage, and personalized settings.
  • C. Google Workspace
    Google Workspace is a cloud-based suite of productivity and collaboration tools that includes Gmail, Docs, Drive, Calendar, Meet, and other integrated services for businesses and organizations.
  • D. Google
    Google is a multinational technology company best known for its search engine and wide range of internet-related products and services, including Android, YouTube, and cloud computing.
  • E. AOL
    AOL is a pioneering American internet and online services company best known for popularizing dial-up access and email in the 1990s and early 2000s.
  • 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_69a2506c5428819085c28a8884790e29 completed Feb. 28, 2026, 2:18 a.m.
NER Named-entity recognition batch_69a2573b4e7481909ee09d2899f8a74b completed Feb. 28, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2b01662f88190a4997a3e86c17946 completed Feb. 28, 2026, 9:06 a.m.
Created at: Feb. 28, 2026, 2:24 a.m.