Triple

T2510257
Position Surface form Disambiguated ID Type / Status
Subject Apple Studio Display E52682 entity
Predicate usbCPortsCount P40916 FINISHED
Object 3 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: 3 | Statement: [Apple Studio Display, usbCPortsCount, 3]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usbCPortsCount
Context triple: [Apple Studio Display, usbCPortsCount, 3]
  • A. hasUSBPort
    Indicates that one entity is equipped with or includes a USB port available for connection or data/power transfer.
  • B. controllerPortCount
    Indicates the number of ports available on a given controller.
  • C. audioPorts
    Indicates that one entity provides or is equipped with audio input/output ports that can be used or connected by the other entity.
  • D. supportsNumberOfChannelsOnTypicalMotherboard
    Indicates that an entity accommodates or is compatible with the typical number of channels provided on a standard motherboard.
  • E. hasPorts
    Indicates that an entity is equipped with or provides access points (ports) for connection, communication, or interface with other entities or systems.
  • F. None of above. chosen

Provenance (4 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_69ab4958e76481908a235377dd921c9e completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd65d6a988190aaaac8e98540a14f completed March 7, 2026, 7:40 a.m.
PD Predicate disambiguation batch_69abd0bd996c8190ba8b9d6e4333b8d4 completed March 7, 2026, 7:16 a.m.
PDg Predicate description generation batch_69abd65c9d508190957285a078698ed2 completed March 7, 2026, 7:40 a.m.
Created at: March 6, 2026, 9:46 p.m.