Triple

T19451084
Position Surface form Disambiguated ID Type / Status
Subject iPhone 15 series E486614 entity
Predicate wirelessChargingStandard P17642 FINISHED
Object MagSafe NE NERFINISHED

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: MagSafe | Statement: [iPhone 15 series, wirelessChargingStandard, MagSafe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MagSafe
Context triple: [iPhone 15 series, wirelessChargingStandard, MagSafe]
  • A. MagSafe power connector chosen
    The MagSafe power connector is a magnetic charging interface developed by Apple that allows MacBook power cables to attach securely yet detach easily to prevent damage if pulled.
  • B. Mophie
    Mophie is a consumer electronics brand best known for its portable chargers and battery cases for smartphones and other mobile devices.
  • C. Charger
    Charger is the NATO reporting name for the Soviet-era Tupolev Tu-144, one of the world’s first supersonic passenger airliners.
  • D. Charger
    Charger is the athletic mascot representing Briar Cliff University’s sports teams.
  • E. Magnetes
    Magnetes were an ancient Greek tribe from the region of Magnesia in Thessaly, known from myth and history as participants in wider Hellenic religious and political affairs.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d7ad488190a3373045029b0f3b completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6338db7c081908793f23592ebef6b completed April 20, 2026, 2:09 p.m.
Created at: April 10, 2026, 1:38 p.m.