Triple

T2629921
Position Surface form Disambiguated ID Type / Status
Subject GDB remote serial protocol E59606 entity
Predicate checksumDelimiter P38006 FINISHED
Object # 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: # | Statement: [GDB remote serial protocol, checksumDelimiter, #]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: checksumDelimiter
Context triple: [GDB remote serial protocol, checksumDelimiter, #]
  • A. checksum
    Indicates that a value has been computed from data to verify its integrity or detect errors in transmission or storage.
  • B. blockDelimiter chosen
    Indicates that one entity serves as a boundary marker that starts, ends, or separates a logical block associated with another entity.
  • C. supportsDelimiterVariation
    Indicates that one entity is capable of handling or accommodating different types or formats of delimiters used by another entity.
  • D. alternativeDelimiters
    Indicates a relationship where one or more substitute boundary markers are used in place of the primary delimiters for separating or enclosing elements.
  • E. hasCheckDigit
    Indicates that an identifier or code includes a calculated check digit used to verify its correctness or integrity.
  • 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_69ab4ac8596c8190b34997e73d9e991c completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abdb0e7b888190bfa5d2e33f00ec0f completed March 7, 2026, 8 a.m.
PD Predicate disambiguation batch_69abd810d7f481908e81c305772c4c14 completed March 7, 2026, 7:47 a.m.
Created at: March 6, 2026, 9:50 p.m.