Triple

T12829290
Position Surface form Disambiguated ID Type / Status
Subject Snake II E306741 entity
Predicate platform P1292 FINISHED
Object Nokia mobile phone E989157 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 mobile phone | Statement: [Snake II, platform, Nokia mobile phone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nokia mobile phone
Context triple: [Snake II, platform, Nokia mobile phone]
  • A. Nokia mobile phones chosen
    Nokia mobile phones are a line of mobile devices known for their durability, long battery life, and iconic designs that were especially popular in the late 1990s and early 2000s.
  • B. Nokia smartphones
    Nokia smartphones are mobile devices known for their durable design, clean software experience, and historically advanced mobile camera capabilities.
  • 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 banana phone
    The Nokia banana phone is a modern reimagining of Nokia’s iconic curved slider feature phone, known for its distinctive shape and nostalgic design.
  • 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_69d7bdf52b94819096d6f0ba4ab50a98 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96faf9ae481908265e198f917d1e6 completed April 10, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ed6cc9c8190aa66075505b42ec0 completed May 2, 2026, 11:55 p.m.
Created at: April 9, 2026, 5:34 p.m.