Triple

T15879900
Position Surface form Disambiguated ID Type / Status
Subject Nokia 8850 E385047 entity
Predicate relatedModel P37 FINISHED
Object Nokia 8890 E391995 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 8890 | Statement: [Nokia 8850, relatedModel, Nokia 8890]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nokia 8890
Context triple: [Nokia 8850, relatedModel, Nokia 8890]
  • A. Nokia 8890 chosen
    The Nokia 8890 is a late-1990s premium GSM mobile phone known for its sleek slider design, compact form factor, and aluminum casing.
  • B. Nokia 8860
    The Nokia 8860 is a late-1990s premium mobile phone known for its sleek sliding cover design and compact, stylish metal-clad body.
  • C. Nokia 8855
    The Nokia 8855 is a premium early-2000s mobile phone known for its sleek stainless-steel design and compact, high-end form factor.
  • D. Nokia 8800
    The Nokia 8800 is a premium stainless-steel slider mobile phone known for its high-end materials, minimalist design, and status-symbol appeal in the mid-2000s.
  • E. Nokia N8
    The Nokia N8 is a 2010 Symbian^3 smartphone best known for its 12-megapixel camera with Carl Zeiss optics and aluminum unibody design.
  • 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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15600863c8190a2dbfd6d7ff495d7 completed April 16, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb043b6d48190bf9a36a3e00403c0 completed May 9, 2026, 10:08 p.m.
Created at: April 10, 2026, 4:51 a.m.