Triple

T12718087
Position Surface form Disambiguated ID Type / Status
Subject Nokia 3350 E303899 entity
Predicate relatedModel P37 FINISHED
Object Nokia 3310 E286147 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 3310 | Statement: [Nokia 3350, relatedModel, Nokia 3310]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nokia 3310
Context triple: [Nokia 3350, relatedModel, Nokia 3310]
  • A. Nokia 3300
    The Nokia 3300 is a music-focused mobile phone from the early 2000s featuring a distinctive gamepad-style keypad layout and integrated MP3 player.
  • B. Nokia 3510
    The Nokia 3510 is an early 2000s GSM mobile phone known for introducing polyphonic ringtones to Nokia’s mass-market lineup and offering a durable, colorful design.
  • C. Nokia 3410
    The Nokia 3410 is an early-2000s GSM mobile phone known for its durable design, long battery life, and support for Java-based games and applications.
  • D. Nokia 3310 (2017) chosen
    The Nokia 3310 (2017) is a modern reimagining of Nokia’s classic feature phone, known for its nostalgic design, long battery life, and simple, durable build.
  • E. Nokia 3110 classic
    The Nokia 3110 classic is a mid-2000s candybar mobile phone known for its durable design, long battery life, and straightforward calling and texting features.
  • 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_69d7bdf084148190ab9d513dc0735af4 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9625d9da48190ab377f9328a0e1f5 completed April 10, 2026, 8:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d5ea02e08190b3be1fdfe86b4ee5 completed May 3, 2026, 4:58 a.m.
Created at: April 9, 2026, 5:23 p.m.