Triple

T12318860
Position Surface form Disambiguated ID Type / Status
Subject iPhone 15 Pro Max E293675 entity
Predicate supports P516 FINISHED
Object MagSafe E234526 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: MagSafe | Statement: [iPhone 15 Pro Max, supports, MagSafe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MagSafe
Context triple: [iPhone 15 Pro Max, supports, 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 (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_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f4ab1b88190979a8403a430a17c completed April 10, 2026, 6:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e88a1348190a04c21b24e1ba2b5 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:53 p.m.