Triple

T3245460
Position Surface form Disambiguated ID Type / Status
Subject DTrace E68056 entity
Predicate supportsSafetyChecks P46800 FINISHED
Object true 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: true | Statement: [DTrace, supportsSafetyChecks, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsSafetyChecks
Context triple: [DTrace, supportsSafetyChecks, true]
  • A. safeguardingMeasuresInclude
    Indicates that certain specific protective or security measures are contained within, or form part of, a broader set of safeguarding measures.
  • B. safetyRequirement
    Indicates that one entity specifies or imposes conditions, standards, or measures necessary to ensure the safety of another entity or activity.
  • C. hasSecurityConsideration
    Indicates that there is a relevant security-related issue, risk, or precaution associated with the referenced entity.
  • D. hasSafetyRegulationCompliance
    Indicates that an entity adheres to, satisfies, or is in conformity with specified safety regulations or standards.
  • E. hasSecurityStandard
    Indicates that an entity complies with, follows, or is governed by a specified security standard or framework.
  • F. None of above. chosen

Provenance (4 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_69ad858e4c708190aa31d486cfee8a6a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaf1a96148190b63bf46209712707 completed March 8, 2026, 5:17 p.m.
PD Predicate disambiguation batch_69ada41837e48190933572165be0ca38 completed March 8, 2026, 4:30 p.m.
PDg Predicate description generation batch_69ada525bb2c8190b773efe6d696b6ab completed March 8, 2026, 4:34 p.m.
Created at: March 8, 2026, 3:09 p.m.