Triple

T28246336
Position Surface form Disambiguated ID Type / Status
Subject Intel Core i7-8500Y E712177 entity
Predicate maxNumberOfDisplays P105950 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: [Intel Core i7-8500Y, maxNumberOfDisplays, 3]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: maxNumberOfDisplays
Context triple: [Intel Core i7-8500Y, maxNumberOfDisplays, 3]
  • A. maximumExternalDisplays chosen
    Indicates the highest number of external display devices that can be simultaneously connected to and used with a given system or component.
  • B. maxColorsOnScreen
    Indicates the maximum number of distinct colors that can be displayed on the screen at the same time.
  • C. maximumDaisyChainedDevices
    Indicates the maximum number of devices that can be connected in a daisy-chain configuration within the specified context.
  • D. externalDisplayResolution
    Indicates the resolution at which content is output or rendered on an external display device.
  • E. hasNumberOfScreens
    Indicates the quantity of screens associated with or contained in a given entity.
  • 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_69efb51fb98881909692421959ec0170 completed April 27, 2026, 7:12 p.m.
NER Named-entity recognition batch_69f643c95d8881908513f34fd6a0216e completed May 2, 2026, 6:34 p.m.
PD Predicate disambiguation batch_69f63c6c1a948190b68c0f92c264cc0c completed May 2, 2026, 6:03 p.m.
Created at: April 27, 2026, 11:01 p.m.