Triple

T10109188
Position Surface form Disambiguated ID Type / Status
Subject Kirov-class battlecruiser E218196 entity
Predicate statusAsOf2020s P40625 FINISHED
Object only Pyotr Velikiy and Admiral Nakhimov expected to remain in service after modernizations 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: only Pyotr Velikiy and Admiral Nakhimov expected to remain in service after modernizations | Statement: [Kirov-class battlecruiser, statusAsOf2020s, only Pyotr Velikiy and Admiral Nakhimov expected to remain in service after modernizations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: statusAsOf2020s
Context triple: [Kirov-class battlecruiser, statusAsOf2020s, only Pyotr Velikiy and Admiral Nakhimov expected to remain in service after modernizations]
  • A. statusAfter2020 chosen
    Indicates the condition or state of an entity as it exists after the year 2020.
  • B. statusAsOf21stCentury
    Indicates that the status or condition of an entity is evaluated or defined specifically as it stands in the 21st century.
  • C. statusAfter2019
    Indicates the condition or state of an entity specifically in the period following the year 2019.
  • D. statusAfter2017
    Indicates the status or condition an entity has specifically after the year 2017.
  • E. statusAfter2018
    Indicates the condition or state of something specifically during the period after the year 2018.
  • 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_69ca83da93fc8190b54e44bc2b34857c completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cdd0cbd8a48190b2af6177d1249f58 completed April 2, 2026, 2:13 a.m.
PD Predicate disambiguation batch_69cd4b9ed7e48190aa132ef8a69b49f9 completed April 1, 2026, 4:45 p.m.
Created at: March 30, 2026, 9:03 p.m.