Triple

T30376316
Position Surface form Disambiguated ID Type / Status
Subject BEEP E772697 entity
Predicate messageOrientation P77331 FINISHED
Object binary framing with arbitrary payload 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: binary framing with arbitrary payload | Statement: [BEEP, messageOrientation, binary framing with arbitrary payload]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: messageOrientation
Context triple: [BEEP, messageOrientation, binary framing with arbitrary payload]
  • A. communicationDirection
    Indicates the directional flow of a communication act, specifying who is sending information and who is receiving it.
  • B. messageSpace
    Indicates a relationship where one entity provides or occupies a space or channel through which messages can be sent, stored, or exchanged between parties.
  • C. messageHandling
    Indicates how messages are received, processed, and responded to within a communication or messaging system.
  • D. orientationType chosen
    Indicates the specific kind or category of orientation relationship that exists between entities (such as spatial, directional, or alignment-based orientation).
  • E. synchronizationDirection
    Indicates the direction in which data or state is synchronized between related entities (e.g., one-way or bidirectional).
  • 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_69f2248e3444819081b05712dc6873de completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f68513cbf881908ec5f924484b19b9 completed May 2, 2026, 11:13 p.m.
PD Predicate disambiguation batch_69f678d019fc8190913662cd2f87b857 completed May 2, 2026, 10:21 p.m.
Created at: April 29, 2026, 8 p.m.