Triple

T5768453
Position Surface form Disambiguated ID Type / Status
Subject Continuity E127268 entity
Predicate includesFeature P182 FINISHED
Object AirDrop E41432 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: AirDrop | Statement: [Continuity, includesFeature, AirDrop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AirDrop
Context triple: [Continuity, includesFeature, AirDrop]
  • A. AirDrop chosen
    AirDrop is Apple's wireless file-sharing feature that lets users quickly and securely transfer photos, documents, and other data between nearby Apple devices.
  • B. Nearby Share
    Nearby Share is Google's proximity-based file sharing feature that lets users quickly and wirelessly send files, links, and other content between nearby Android and ChromeOS devices.
  • C. 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.
  • D. Wi‑Fi Direct
    Wi‑Fi Direct is a wireless technology standard that allows devices to connect directly to each other without requiring a traditional Wi‑Fi network or router.
  • E. AirPlay
    AirPlay is Apple's wireless streaming protocol that lets users send audio, video, and screen content from their devices to compatible receivers like speakers and TVs.
  • 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_69c00834f6308190851b0abeddd8ed7e completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02974ae2c8190aee5ee61fc69ad79 completed March 22, 2026, 5:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e61127c8190833e279403af6605 completed March 22, 2026, 11:42 p.m.
Created at: March 22, 2026, 3:49 p.m.