Triple

T13528994
Position Surface form Disambiguated ID Type / Status
Subject Kvant-1 E323083 entity
Predicate partOf P40 FINISHED
Object Mir E118091 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: Mir | Statement: [Kvant-1, partOf, Mir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mir
Context triple: [Kvant-1, partOf, Mir]
  • A. Mir chosen
    Mir was a Soviet and later Russian modular space station that served as a long-term research outpost in low Earth orbit from 1986 to 2001.
  • B. Mir
    Mir is a traditional South Asian noble title historically used by rulers and aristocrats, particularly in regions such as Sindh under dynasties like the Talpurs.
  • C. Mir
    Mir is a historic town in present-day Belarus, known for its multicultural heritage and the UNESCO-listed Mir Castle Complex.
  • D. Mil
    Mil is a Russian surname most famously associated with Mikhail Mil, the pioneering Soviet aerospace engineer and helicopter designer.
  • E. Mus
    Mus is the cognomen of the Roman family line to which the consul Publius Decius Mus of 279 BCE belonged, associated with a notable lineage of Republican military leaders.
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafba2c308190873efd15dfe26358 completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d95ce008190a915fe5865c38ee5 completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:44 p.m.