Triple

T13024941
Position Surface form Disambiguated ID Type / Status
Subject Nokia 3000 classic E326277 entity
Predicate series P1761 FINISHED
Object Nokia 3000 series E60240 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: Nokia 3000 series | Statement: [Nokia 3000 classic, series, Nokia 3000 series]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nokia 3000 series
Context triple: [Nokia 3000 classic, series, Nokia 3000 series]
  • A. Nokia 3000 series chosen
    The Nokia 3000 series is a family of mid-range mobile phones known for their practical features, durable design, and popularity during the early 2000s.
  • B. Nokia 3 series
    The Nokia 3 series is a line of budget-friendly Android smartphones positioned as entry-level devices within the modern Nokia-branded lineup.
  • C. 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.
  • D. Nokia Cseries
    Nokia Cseries is a line of Nokia mobile phones focused on affordable, messaging-centric and social networking features for budget-conscious users.
  • E. Nokia Eseries
    Nokia Eseries is a line of Nokia smartphones focused on business and enterprise users, featuring productivity tools, robust email support, and QWERTY keyboards on many models.
  • 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_69d8076cc45c81908123123f43e69266 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97efac71881908a21d70c3c6ce099 completed April 10, 2026, 10:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f716b885708190b6c38c481fa9ca21 completed May 3, 2026, 9:34 a.m.
Created at: April 9, 2026, 8:53 p.m.