Triple

T11658091
Position Surface form Disambiguated ID Type / Status
Subject Nokia smartphones E277058 entity
Predicate hasModel P2390 FINISHED
Object Nokia 3650 E299863 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 3650 | Statement: [Nokia smartphones, hasModel, Nokia 3650]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nokia 3650
Context triple: [Nokia smartphones, hasModel, Nokia 3650]
  • A. Nokia 3650 chosen
    The Nokia 3650 is a Symbian-based early camera smartphone notable for its circular keypad design and multimedia capabilities.
  • B. Nokia 3530
    The Nokia 3530 is an early 2000s GSM mobile phone known for its color display, polyphonic ringtones, and durable candybar design.
  • C. Nokia 7650
    The Nokia 7650 is an early 2000s smartphone best known for popularizing the Symbian operating system and featuring one of the first built-in cameras in a mobile phone.
  • D. Nokia 3350
    The Nokia 3350 is a classic early-2000s GSM mobile phone known for its durable candybar design, long battery life, and support for popular features like SMS, games, and customizable ringtones.
  • E. Nokia 3250
    The Nokia 3250 is a mid-2000s Symbian-based mobile phone best known for its distinctive twisting design that switches between a traditional keypad and dedicated music controls.
  • 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_69d6aafbb3c081908a9cdb4ecb8d981d completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a3d0331481909682b2e504e4c9a0 completed April 10, 2026, 7:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69f48a027dec8190aea103f0974186b0 completed May 1, 2026, 11:09 a.m.
Created at: April 8, 2026, 9:39 p.m.