Triple

T19771328
Position Surface form Disambiguated ID Type / Status
Subject Google+ Circles interface E474894 entity
Predicate partOf P40 FINISHED
Object Google+ NE NERFINISHED

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: Google+ | Statement: [Google+ Circles interface, partOf, Google+]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Google+
Context triple: [Google+ Circles interface, partOf, Google+]
  • A. Google+ (Google Plus) chosen
    Google+ (Google Plus) was Google’s now-defunct social networking platform designed to compete with Facebook by integrating social features across Google services.
  • B. Orkut
    Orkut was a social networking service owned and operated by Google that was especially popular in Brazil and India during the mid-2000s.
  • C. Google Buzz
    Google Buzz was a short-lived social networking and microblogging service from Google that integrated with Gmail to let users share updates, links, and media.
  • D. OGLE
    OGLE (Optical Gravitational Lensing Experiment) is a long-term astronomical survey focused on detecting dark matter, exoplanets, and variable stars through gravitational microlensing and photometric monitoring.
  • E. Google Feed
    Google Feed was a personalized content stream within the Google app that surfaced news, articles, and updates based on a user’s interests and activity.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51a43a08190956bc6df13c91a77 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6535bd8c0819097671783962b6bc5 completed April 20, 2026, 4:25 p.m.
Created at: April 10, 2026, 1:48 p.m.