Triple

T36691127
Position Surface form Disambiguated ID Type / Status
Subject Toshiba MG Series E905957 entity
Predicate reliabilityTarget P88032 FINISHED
Object high MTBF 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: high MTBF | Statement: [Toshiba MG Series, reliabilityTarget, high MTBF]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: reliabilityTarget
Context triple: [Toshiba MG Series, reliabilityTarget, high MTBF]
  • A. hasReliabilityGoal chosen
    Indicates that an entity is associated with or assigned a specific reliability-related objective or target.
  • B. reliabilityCharacteristic
    Indicates that one entity specifies or embodies a reliability-related property, feature, or performance attribute of another entity.
  • C. reliabilityHigherThan
    Indicates that one entity is considered to have greater reliability than another entity.
  • D. reliabilityScope
    Indicates the extent or context within which something’s reliability or dependability is defined, evaluated, or guaranteed.
  • E. reliabilityRecord
    Indicates that there exists a record or documentation capturing the reliability characteristics, performance, or history associated with an entity or relationship.
  • 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_69f76e70d2448190bdd3ce781ba971c5 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7c7e6b3f481909ad2b44e11f578f2 completed May 3, 2026, 10:10 p.m.
PD Predicate disambiguation batch_69f7c4796ebc819084a0dc08505e5f14 completed May 3, 2026, 9:56 p.m.
Created at: May 3, 2026, 4:12 p.m.