Triple

T14576724
Position Surface form Disambiguated ID Type / Status
Subject Nokia N73 E342071 entity
Predicate modelNumber P8607 FINISHED
Object N73 E342071 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: N73 | Statement: [Nokia N73, modelNumber, N73]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: N73
Context triple: [Nokia N73, modelNumber, N73]
  • A. Nokia N73 chosen
    The Nokia N73 is a mid-2000s Symbian-based smartphone known for its advanced multimedia features and high-quality camera for its time.
  • B. Nokia N77
    The Nokia N77 is a mid-2000s Nokia smartphone notable for its integrated DVB-H mobile TV capabilities and multimedia features within the Nseries lineup.
  • C. Nokia N78
    The Nokia N78 is a mid-range Symbian smartphone from Nokia’s Nseries line, featuring multimedia capabilities, GPS, and a classic candybar design.
  • D. Nokia N79
    The Nokia N79 is a Symbian-based smartphone from Nokia's Nseries lineup, known for its multimedia features, GPS navigation, and 5-megapixel camera.
  • E. Nokia N76
    The Nokia N76 is a slim clamshell smartphone from Nokia's multimedia-focused Nseries line, featuring advanced music, imaging, and internet capabilities for its time.
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb3f5ec448190b2ef887fdf7b633e completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8ace7da48190880a736ead5c4055 completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:24 a.m.