Triple

T8471209
Position Surface form Disambiguated ID Type / Status
Subject LocalTalk cabling system E200283 entity
Predicate signalEncoding P33682 FINISHED
Object differential serial communication 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: differential serial communication | Statement: [LocalTalk cabling system, signalEncoding, differential serial communication]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: signalEncoding
Context triple: [LocalTalk cabling system, signalEncoding, differential serial communication]
  • A. dataEncodingMethod chosen
    Indicates the specific technique or format used to encode data for storage, transmission, or processing.
  • B. encodes
    Indicates that one entity contains or represents the information, instructions, or structure of another in a coded or symbolic form.
  • C. encodingLibrary
    Indicates that one entity is the software library or tool used to encode, transform, or serialize the other entity’s data or content.
  • D. signalContent
    Indicates that one entity is the informational content or message carried, conveyed, or represented by a signal produced or transmitted by another entity.
  • E. colorEncoding
    Indicates how the color information of an entity is represented, formatted, or encoded.
  • 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_69ca831a4f348190bfdd09250e86ae35 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe4f3a81881908f20514579945ffa completed March 31, 2026, 3:14 p.m.
PD Predicate disambiguation batch_69cbd10072cc819084be1ed9ac7ebe9d completed March 31, 2026, 1:49 p.m.
Created at: March 30, 2026, 6:11 p.m.