Triple

T22028311
Position Surface form Disambiguated ID Type / Status
Subject Instant Hotspot E544020 entity
Predicate connectsDevices P13458 FINISHED
Object nearby Apple devices signed in to the same Apple ID LITERAL 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: nearby Apple devices signed in to the same Apple ID | Statement: [Instant Hotspot, connectsDevices, nearby Apple devices signed in to the same Apple ID]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: connectsDevices
Context triple: [Instant Hotspot, connectsDevices, nearby Apple devices signed in to the same Apple ID]
  • A. connectsDeviceType
    Indicates a relationship where one entity is associated with or linked to a specific type or category of device.
  • B. connectsSystem
    Indicates that one system establishes a link or interface with another system, enabling interaction or data exchange between them.
  • C. connectsWorks
    Indicates a relationship where one work serves to link, bridge, or associate two or more other works.
  • D. relatedDevice chosen
    Indicates that one device has an association or connection to another device, without specifying the exact nature of that relationship.
  • E. includesDevices
    Indicates that one entity contains, encompasses, or has as part of it one or more devices.
  • F. None of above.

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_69e11e2f98c8819083e11eab90942a78 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127cdf5c08190ac804664d6e56fe2 completed April 28, 2026, 9:34 p.m.
PD Predicate disambiguation batch_69e6f63b0d048190b241622759aab9de completed April 21, 2026, 3:59 a.m.
Created at: April 16, 2026, 8:24 p.m.