Triple

T3245455
Position Surface form Disambiguated ID Type / Status
Subject DTrace E68056 entity
Predicate supportsApplicationLevelTracing P203 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, supportsApplicationLevelTracing, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsApplicationLevelTracing
Context triple: [DTrace, supportsApplicationLevelTracing, true]
  • A. supportsFeature chosen
    Indicates that one entity provides, enables, or is compatible with a particular feature or capability of another.
  • B. supportsThirdPartyApplications
    Indicates that an entity is capable of working with, integrating, or allowing the use of software applications developed by external third parties.
  • C. supportsRouting
    Indicates that one entity provides the capability to determine and direct paths or routes for another entity’s traffic, requests, or messages.
  • D. usesTrackage
    Indicates that one transportation operator or service runs its vehicles over railway or transit tracks that are owned or controlled by another entity.
  • E. supportsImplementationOf
    Indicates that one entity provides the necessary resources, framework, or assistance for another entity to be carried out, realized, or put into practice.
  • 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_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.
Created at: March 8, 2026, 3:09 p.m.