Triple

T23536235
Position Surface form Disambiguated ID Type / Status
Subject Carrefour Laval E576707 entity
Predicate hasAnchorTenant P11754 FINISHED
Object Best Buy 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: Best Buy | Statement: [Carrefour Laval, hasAnchorTenant, Best Buy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Best Buy
Context triple: [Carrefour Laval, hasAnchorTenant, Best Buy]
  • 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. Circuit City
    Circuit City was a major American consumer electronics and appliance retail chain that rose to prominence in the late 20th century before ultimately declaring bankruptcy and closing its stores.
  • C. Fry’s Electronics
    Fry’s Electronics was a now-defunct American big-box retail chain known for its large, themed stores selling consumer electronics, computers, and appliances.
  • D. 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."
  • 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 (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_69e245f5a8848190a2ba42e271c6c31f completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1ae1738bc81909a7b761ddbaa1883 completed April 29, 2026, 7:07 a.m.
Created at: April 17, 2026, 6:10 p.m.