Triple

T19385787
Position Surface form Disambiguated ID Type / Status
Subject Akademik Lomonosov E484929 entity
Predicate refuelingInterval_years P75841 FINISHED
Object about 3 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: about 3 | Statement: [Akademik Lomonosov, refuelingInterval_years, about 3]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: refuelingInterval_years
Context triple: [Akademik Lomonosov, refuelingInterval_years, about 3]
  • A. typicalFuelCycleLength
    Indicates the usual duration of a complete fuel usage and replacement cycle for a system or process.
  • B. durationInYears chosen
    Indicates the length of time associated with something, measured in whole or fractional years.
  • C. appliesInYears
    Indicates that something (such as a rule, condition, or effect) is valid, relevant, or in force during specific years.
  • D. enduranceWithRefueling
    Indicates the duration or operational capability of something when periodic refueling is allowed or assumed.
  • E. durationOfUse
    Indicates the length of time for which something is used or remains in use.
  • 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_69d8e8d460d88190abf0591c5c9d2b0c completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e61b40d1148190b4fcd9ad56aa6910 completed April 20, 2026, 12:25 p.m.
PD Predicate disambiguation batch_69e4fd602f008190aa9bc76ae17e4ce1 completed April 19, 2026, 4:05 p.m.
Created at: April 10, 2026, 1:35 p.m.