Triple

T9535681
Position Surface form Disambiguated ID Type / Status
Subject Best Buy E230007 entity
Predicate website P69 FINISHED
Object https://www.bestbuy.com E230007 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: https://www.bestbuy.com | Statement: [Best Buy, website, https://www.bestbuy.com]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: https://www.bestbuy.com
Context triple: [Best Buy, website, https://www.bestbuy.com]
  • A. Best Buy chosen
    Best Buy is a major American consumer electronics retail chain known for selling computers, appliances, and entertainment products through large-format stores and online.
  • B. Xnet
    Xnet is the underground, encrypted peer-to-peer communication network used by teens to evade government surveillance in Cory Doctorow’s novel "Little Brother."
  • C. Overstock.com
    Overstock.com is an American online retailer known for selling discounted furniture, home goods, and other merchandise through its e-commerce platform.
  • D. Jet.com
    Jet.com was an American e-commerce company known for its dynamic pricing model and rapid growth as a Walmart-acquired online retail platform.
  • E. Micro Center
    Micro Center is a U.S.-based retail chain specializing in computers, consumer electronics, and related accessories.
  • 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_69ca847b1b3081908f72bc932c17cc41 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd98cd6a5c8190835c0910ec38ede3 completed April 1, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69d14c4804988190b99343734b4882e0 completed April 4, 2026, 5:37 p.m.
Created at: March 30, 2026, 8 p.m.