Triple

T20543168
Position Surface form Disambiguated ID Type / Status
Subject Mir EO-20 E504397 entity
Predicate spaceStationSegment P70063 FINISHED
Object Mir complex 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 complex | Statement: [Mir EO-20, spaceStationSegment, Mir complex]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mir complex
Context triple: [Mir EO-20, spaceStationSegment, Mir complex]
  • 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. Murist
    Murist is a small municipality in the canton of Fribourg in western Switzerland, situated within the Broye district.
  • E. Mentiri
    Mentiri is a residential and administrative area in the Brunei-Muara District of Brunei, known for its housing estates and local community facilities.
  • 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_69e0b4b476648190bc6019622ae54d3c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a293feac8190b27848b64f2db1fe completed April 20, 2026, 10:03 p.m.
Created at: April 16, 2026, 11:38 a.m.