Triple

T11658090
Position Surface form Disambiguated ID Type / Status
Subject Nokia smartphones E277058 entity
Predicate hasModel P2390 FINISHED
Object Nokia 6600 E943263 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 6600 | Statement: [Nokia smartphones, hasModel, Nokia 6600]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nokia 6600
Context triple: [Nokia smartphones, hasModel, Nokia 6600]
  • A. Nokia 6600 chosen
    The Nokia 6600 is a mid-2000s Symbian smartphone known for its rounded design, advanced multimedia features for its time, and popularity as a business and consumer device.
  • B. Nokia 6610
    The Nokia 6610 is a classic early-2000s GSM mobile phone known for its durable candybar design, color display, and long battery life.
  • C. Nokia 6300
    The Nokia 6300 is a mid-2000s candybar-style mobile phone known for its slim stainless-steel design, reliability, and popularity as a classic feature phone.
  • D. Nokia 6100
    The Nokia 6100 is a compact early-2000s GSM mobile phone known for its color display, lightweight candybar design, and popularity as a reliable mid-range handset.
  • E. Nokia 6210
    The Nokia 6210 is a classic early-2000s GSM mobile phone known for its robust build, long battery life, and popularity among business users.
  • 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_69f4711f37988190b496640c32c5bc16 completed May 1, 2026, 9:23 a.m.
Created at: April 8, 2026, 9:39 p.m.