Triple

T18497661
Position Surface form Disambiguated ID Type / Status
Subject Kvant docking module E451989 entity
Predicate spaceProgram P1426 FINISHED
Object Mir program NE NERFINISHED

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 program | Statement: [Kvant docking module, spaceProgram, Mir program]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mir program
Context triple: [Kvant docking module, spaceProgram, Mir program]
  • A. Mir program chosen
    The Mir program was a Soviet and later Russian initiative that operated the world’s first long-duration modular space station, serving as a key precursor to the International Space Station.
  • 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 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.
  • D. Mir
    Mir is a historic town in present-day Belarus, known for its multicultural heritage and the UNESCO-listed Mir Castle Complex.
  • E. MIR
    MIR is the National Rail station code for Mirfield railway station in West Yorkshire, England.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d3855d50819097fc8561b0299dd9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e532c15dec8190941e7c7a4cdebb66 completed April 19, 2026, 7:53 p.m.
Created at: April 10, 2026, 11:36 a.m.