Triple

T33203606
Position Surface form Disambiguated ID Type / Status
Subject USB Type-C Alternate Mode architecture E849967 entity
Predicate repurposes P47023 FINISHED
Object USB Type-C high-speed data lanes 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: USB Type-C high-speed data lanes | Statement: [USB Type-C Alternate Mode architecture, repurposes, USB Type-C high-speed data lanes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: repurposes
Context triple: [USB Type-C Alternate Mode architecture, repurposes, USB Type-C high-speed data lanes]
  • A. laterRepurposedFor chosen
    Indicates that something was originally used for one purpose and subsequently assigned a different, new purpose.
  • B. reimagines
    Indicates that one entity creatively reconceives, interprets, or presents another in a significantly new or different way.
  • C. reusedIn
    Indicates that something previously used in one context or instance is used again in another context or instance.
  • D. relocatedForPurpose
    Indicates that an entity moved from one location to another specifically to fulfill or pursue a particular purpose or objective.
  • E. reconstructs
    Indicates performing an action to rebuild, restore, or reassemble something from its parts, damage, or prior state.
  • 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_69f3495efedc8190843a5728089544b9 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6dd3cc0648190a275812d6711275a completed May 3, 2026, 5:29 a.m.
PD Predicate disambiguation batch_69f6d82eaee081908f06a71546315aea completed May 3, 2026, 5:07 a.m.
Created at: May 1, 2026, 1:30 a.m.