Triple

T2728049
Position Surface form Disambiguated ID Type / Status
Subject Nokia 3000 series E60240 entity
Predicate hasModel P2390 FINISHED
Object Nokia 3510i E303900 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 3510i | Statement: [Nokia 3000 series, hasModel, Nokia 3510i]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nokia 3510i
Context triple: [Nokia 3000 series, hasModel, Nokia 3510i]
  • A. Nokia 3510 chosen
    The Nokia 3510 is an early 2000s GSM mobile phone known for introducing polyphonic ringtones to Nokia’s mass-market lineup and offering a durable, colorful design.
  • B. Nokia 3410
    The Nokia 3410 is an early-2000s GSM mobile phone known for its durable design, long battery life, and support for Java-based games and applications.
  • C. 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.
  • D. Nokia 3300
    The Nokia 3300 is a music-focused mobile phone from the early 2000s featuring a distinctive gamepad-style keypad layout and integrated MP3 player.
  • E. Nokia 3330
    The Nokia 3330 is a popular early-2000s mobile phone known for its durable build, long battery life, and classic monochrome display with simple games like Snake.
  • 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_69ab4b75cd908190b691ef0d1801acda completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdacffa6481909df37335e8fdd595 completed March 7, 2026, 7:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01d466d6481908ca5952db369c9f3 completed March 10, 2026, 1:31 p.m.
Created at: March 6, 2026, 9:56 p.m.