Triple

T27614166
Position Surface form Disambiguated ID Type / Status
Subject NIST SP 800-60 E700394 entity
Predicate Volume I P155204 FINISHED
Object Guide for Mapping Types of Information and Information Systems to Security Categories NE NERFINISHED

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: Guide for Mapping Types of Information and Information Systems to Security Categories | Statement: [NIST SP 800-60, Volume I, Guide for Mapping Types of Information and Information Systems to Security Categories]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: Volume I
Context triple: [NIST SP 800-60, Volume I, Guide for Mapping Types of Information and Information Systems to Security Categories]
  • A. isFirstVolumeOf chosen
    Indicates that one item is the initial volume in a multi-volume work or series.
  • B. firstEditionVolumes
    Indicates that the subject is a work or publication and the object is the number of volumes in its first edition.
  • C. عدد المقاطع
    Indicates the number of segments or parts into which something is divided.
  • D. seventhVolume
    Indicates that one entity is the seventh volume in a sequential series or collection associated with another entity.
  • E. firstFascicleTitle
    Indicates the title assigned to the first fascicle (initial installment or part) of a multi-part work.
  • 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_69ef6a4f1d9c8190b0705acda054368d completed April 27, 2026, 1:53 p.m.
NER Named-entity recognition batch_69f630d70e3881908adb5ac661569149 completed May 2, 2026, 5:13 p.m.
PD Predicate disambiguation batch_69f62c1921008190a62675a31f66a875 completed May 2, 2026, 4:53 p.m.
Created at: April 27, 2026, 2:12 p.m.