Triple

T955878
Position Surface form Disambiguated ID Type / Status
Subject AirPods E20624 entity
Predicate hasVariant P455 FINISHED
Object AirPods (1st generation) E20624 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: AirPods (1st generation) | Statement: [AirPods, hasVariant, AirPods (1st generation)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AirPods (1st generation)
Context triple: [AirPods, hasVariant, AirPods (1st generation)]
  • A. AirPods chosen
    AirPods are Apple’s wireless Bluetooth earbuds known for their seamless integration with Apple devices, compact charging case, and touch or voice-controlled features.
  • B. iPod
    The iPod is a line of portable digital media players by Apple that revolutionized how people listen to and purchase music.
  • C. HomePod
    HomePod is Apple’s smart speaker that integrates Siri voice control with high-quality audio playback and seamless connectivity to the Apple ecosystem.
  • D. AirPort
    AirPort is Apple's brand name for its line of Wi‑Fi networking technology and products used to provide wireless connectivity for its computers and devices.
  • E. Apple Watch
    The Apple Watch is a smartwatch line that integrates closely with the iPhone to provide fitness tracking, health monitoring, notifications, and app functionality on the wrist.
  • 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_69a493b21f2881908132dcf45dcd2f36 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3f7a7608190b8a8dd2486654bec completed March 1, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69a933b00a58819084164f3dd3ecb070 completed March 5, 2026, 7:41 a.m.
Created at: March 1, 2026, 7:40 p.m.