Triple

T19694069
Position Surface form Disambiguated ID Type / Status
Subject HMV Group E472906 entity
Predicate hasKeyCompetitor P1375 FINISHED
Object Zavvi 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: Zavvi | Statement: [HMV Group, hasKeyCompetitor, Zavvi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zavvi
Context triple: [HMV Group, hasKeyCompetitor, Zavvi]
  • A. Kogan
    Kogan is a small rural town in Queensland, Australia, known for its agricultural activities and role in the Western Downs Region’s energy and resource industries.
  • B. Kogan
    Kogan is a variant form of the Jewish surname Cohen, often arising from transliteration or regional spelling differences.
  • C. 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."
  • D. Carphone Warehouse chosen
    Carphone Warehouse is a UK-based mobile phone and telecommunications retailer known for selling handsets, contracts, and related services across high-street stores and online.
  • E. Daraz
    Daraz is a leading South Asian e-commerce platform offering a wide range of products and digital services across multiple countries.
  • 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_69d8e515bef88190bc30781aea50537a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6421385e88190b22b12ab3d851dea completed April 20, 2026, 3:11 p.m.
Created at: April 10, 2026, 1:46 p.m.