Triple

T11960643
Position Surface form Disambiguated ID Type / Status
Subject Nokia 3 series E284660 entity
Predicate manufacturer P490 FINISHED
Object HMD Global E59624 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 Global | Statement: [Nokia 3 series, manufacturer, HMD Global]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HMD Global
Context triple: [Nokia 3 series, manufacturer, HMD Global]
  • A. HMD Global chosen
    HMD Global is a Finnish consumer electronics company best known for designing and marketing Nokia-branded mobile phones and smartphones.
  • B. HMD
    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.
  • C. HMD
    HMD is the three-letter station code used to identify Hampstead tube station on the London Underground network.
  • D. 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.
  • E. Huawei
    Huawei is a major Chinese multinational technology company best known globally for its telecommunications equipment, smartphones, and role in 5G network infrastructure.
  • 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9036941948190b150369094551731 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f63ca1748190aad1610f22c53f7d completed May 2, 2026, 1:03 p.m.
Created at: April 8, 2026, 9:45 p.m.