Triple

T10426543
Position Surface form Disambiguated ID Type / Status
Subject Lusser's law of series system reliability E245803 entity
Predicate hasAlternativeName P39 FINISHED
Object series system reliability law E245803 NE 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: series system reliability law | Statement: [Lusser's law of series system reliability, hasAlternativeName, series system reliability law]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: series system reliability law
Context triple: [Lusser's law of series system reliability, hasAlternativeName, series system reliability law]
  • A. Lusser's law of series system reliability chosen
    Lusser's law of series system reliability is a principle in reliability engineering stating that the overall reliability of a series system equals the product of the reliabilities of its individual components, causing system reliability to decrease as more components are added.
  • B. reliability engineering
    Reliability engineering is an engineering discipline focused on ensuring systems and components perform their intended functions dependably over time by analyzing, predicting, and improving their failure behavior.
  • C. Khinchin–Pollaczek formula
    The Khinchin–Pollaczek formula is a result in probability theory and queueing theory that provides an explicit expression for the stationary waiting-time distribution in certain single-server queues.
  • D. The Art of Probability for Scientists and Engineers
    The Art of Probability for Scientists and Engineers is a textbook by mathematician Richard W. Hamming that presents probability theory with an emphasis on practical applications in science and engineering.
  • E. Modern Probability Theory and Its Applications
    "Modern Probability Theory and Its Applications" is a foundational textbook by Emanuel Parzen that systematically develops modern probability theory and demonstrates its use in a wide range of statistical and applied contexts.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d381bf3dc08190bf35a2643e4e8f22 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea498ab08190b451c0b257c0711b completed April 7, 2026, 11:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69d87ea554888190bf2ef31e33c0ff14 completed April 10, 2026, 4:37 a.m.
Created at: April 6, 2026, 12:12 p.m.