Triple

T14387927
Position Surface form Disambiguated ID Type / Status
Subject Google services ecosystem E356771 entity
Predicate includesService P1393 FINISHED
Object Blogger E19881 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: Blogger | Statement: [Google services ecosystem, includesService, Blogger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blogger
Context triple: [Google services ecosystem, includesService, Blogger]
  • A. Blogger chosen
    Blogger is a popular online platform that allows users to create, publish, and manage personal or professional blogs on the web.
  • B. Tumblr
    Tumblr is a microblogging and social networking platform known for its highly customizable blogs, fandom communities, and viral multimedia content.
  • C. WordPress.com
    WordPress.com is a popular hosted blogging and website-building platform that allows users to create and manage websites without needing to run their own server software.
  • D. Bolg
    Bolg is a prominent orc chieftain from J.R.R. Tolkien’s legendarium, best known for leading the goblin forces in the Battle of Five Armies in "The Hobbit."
  • E. NETVIBES
    NETVIBES is a customizable dashboard and data intelligence platform known for aggregating web content, analytics, and business metrics into personalized, real-time views.
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90283b9c8190b50d30ad58bfe085 completed April 14, 2026, 7:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd551623608190ba1de09b423cc5e1 completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:16 a.m.