Triple

T3636096
Position Surface form Disambiguated ID Type / Status
Subject Apple III E77069 entity
Predicate reliabilityIssues P21734 FINISHED
Object frequent hardware failures in early units 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: frequent hardware failures in early units | Statement: [Apple III, reliabilityIssues, frequent hardware failures in early units]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: reliabilityIssues
Context triple: [Apple III, reliabilityIssues, frequent hardware failures in early units]
  • A. reliabilityMechanism
    Indicates a mechanism or process that ensures the dependable, consistent, and correct functioning of a system or relationship.
  • B. facingIssue
    Indicates that an entity is currently experiencing, encountering, or dealing with a problem, difficulty, or obstacle.
  • C. knownIssue chosen
    Indicates that the subject has an issue or problem that is already identified, recognized, or documented.
  • D. reliabilityRecord
    Indicates that there exists a record or documentation capturing the reliability characteristics, performance, or history associated with an entity or relationship.
  • E. issues
    Indicates that an entity formally produces, releases, or distributes something, such as a document, order, or resource, making it officially available.
  • 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_69ad85dd0be48190b738990cb20c4731 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc3278bb8819098bbeac023410111 completed March 8, 2026, 6:42 p.m.
PD Predicate disambiguation batch_69adb842be7c8190b7dfdb7c906f294c completed March 8, 2026, 5:56 p.m.
Created at: March 8, 2026, 3:24 p.m.