Triple

T2630741
Position Surface form Disambiguated ID Type / Status
Subject HMD Global E59624 entity
Predicate marketsDevicesUnderBrand P42355 FINISHED
Object HMD E30733 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: HMD | Statement: [HMD Global, marketsDevicesUnderBrand, HMD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HMD
Context triple: [HMD Global, marketsDevicesUnderBrand, HMD]
  • A. HMD chosen
    HMD is the commonly used abbreviation for Holocaust Memorial Day in the United Kingdom, a national day of remembrance for the victims of the Holocaust and subsequent genocides.
  • B. HMD Global
    HMD Global is a Finnish consumer electronics company best known for designing and marketing Nokia-branded mobile phones and smartphones.
  • C. Nokia
    Nokia is a Finnish multinational telecommunications and consumer electronics company best known for its historic leadership in mobile phones and its current focus on network infrastructure and 5G technologies.
  • D. HTC
    HTC is a Taiwanese consumer electronics company best known for manufacturing smartphones and other mobile devices, including early Android and Windows-based phones.
  • E. Nokia Nseries
    Nokia Nseries is a line of multimedia-focused smartphones and mobile devices known for pioneering advanced camera, music, and internet capabilities in the mid-2000s.
  • 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_69ab4ac8596c8190b34997e73d9e991c completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abdd1ca0248190aa15f80b2798524e completed March 7, 2026, 8:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa04cf4e08190938687bfeb0ae353 completed March 10, 2026, 4:38 a.m.
Created at: March 6, 2026, 9:50 p.m.