Triple

T161273
Position Surface form Disambiguated ID Type / Status
Subject Web 2.0 E3289 entity
Predicate hasExample P1259 FINISHED
Object Flickr E5329 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: Flickr | Statement: [Web 2.0, hasExample, Flickr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flickr
Context triple: [Web 2.0, hasExample, Flickr]
  • A. Google Photos
    Google Photos is a cloud-based photo and video storage and management service that offers automatic backup, organization, sharing, and powerful search features using Google’s AI.
  • B. Periscope
    Periscope was a live video streaming mobile app that allowed users to broadcast and watch real-time video from around the world.
  • C. Tumblr
    Tumblr is a microblogging and social networking platform known for its highly customizable blogs, fandom communities, and viral multimedia content.
  • D. Instagram chosen
    Instagram is a popular photo and video sharing social media platform known for its visual content, stories, and influencer culture.
  • E. Getty Center
    The Getty Center is a renowned art museum and cultural complex in Los Angeles known for its impressive architecture, hilltop gardens, and extensive collections of European paintings, sculptures, and decorative arts.
  • 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_69a2527757ec819090b8becb2cf1a862 completed Feb. 28, 2026, 2:27 a.m.
NER Named-entity recognition batch_69a25856d934819095460b2ea566eb6b completed Feb. 28, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2d4cbaedc81908aa7cf4df2661ccc completed Feb. 28, 2026, 11:43 a.m.
Created at: Feb. 28, 2026, 2:31 a.m.