Triple

T11657593
Position Surface form Disambiguated ID Type / Status
Subject S60 E277048 entity
Predicate usedBy P260 FINISHED
Object Nokia N97 E366681 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 N97 | Statement: [S60, usedBy, Nokia N97]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nokia N97
Context triple: [S60, usedBy, Nokia N97]
  • A. Nokia N97 chosen
    The Nokia N97 is a touchscreen smartphone with a slide-out QWERTY keyboard that was one of Nokia's flagship Symbian devices in the late 2000s.
  • B. Nokia N96
    The Nokia N96 is a high-end Symbian smartphone from the late 2000s known for its multimedia features, large storage capacity, and DVB-H mobile TV support.
  • C. Nokia N95
    The Nokia N95 is a flagship multimedia smartphone from the mid-2000s known for its dual-slide design, integrated GPS, 5-megapixel camera, and advanced connectivity features.
  • D. Nokia N92
    The Nokia N92 is a mid-2000s Nokia smartphone notable for its clamshell design and built-in DVB-H mobile TV capabilities.
  • 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_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_69f0191ced188190b79de079b6890221 completed April 28, 2026, 2:19 a.m.
Created at: April 8, 2026, 9:39 p.m.