Triple

T6459978
Position Surface form Disambiguated ID Type / Status
Subject Xanga E142091 entity
Predicate competesWith P1375 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: [Xanga, competesWith, Blogger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blogger
Context triple: [Xanga, competesWith, 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. NETVIBES
    NETVIBES is a customizable dashboard and data intelligence platform known for aggregating web content, analytics, and business metrics into personalized, real-time views.
  • E. Ning
    Ning is an online platform that enables users and organizations to create their own custom social networks and communities.
  • 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_69c008d2f91c8190a8178767a35e08fc completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c069f50ea88190af29c8c249ff2b69 completed March 22, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64be1fad88190af07b7053811e3f2 completed March 27, 2026, 9:20 a.m.
Created at: March 22, 2026, 4:48 p.m.