Triple

T17178932
Position Surface form Disambiguated ID Type / Status
Subject Svobodny Cosmodrome E416930 entity
Predicate formerName P65 FINISHED
Object Svobodny-18 E101697 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: Svobodny-18 | Statement: [Svobodny Cosmodrome, formerName, Svobodny-18]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Svobodny-18
Context triple: [Svobodny Cosmodrome, formerName, Svobodny-18]
  • A. Svobodny chosen
    Svobodny is a town in Russia’s Amur Oblast, known historically as a Trans-Siberian Railway hub and more recently for its proximity to the Vostochny Cosmodrome.
  • B. Privolnoye
    Privolnoye is a rural village in southern Russia best known as the birthplace of former Soviet leader Mikhail Gorbachev.
  • C. Svoboda
    Svoboda is a common Czech surname borne by numerous notable figures, including politicians, artists, and athletes.
  • D. Svoboda
    Svoboda is a Ukrainian nationalist political party known for its right-wing, populist positions and prominent role in post-Soviet Ukrainian politics.
  • E. Sovbez
    Sovbez is the powerful advisory body in Russia that coordinates national security and defense policy under the leadership of the president.
  • 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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3fc0f9a288190b0ddfb673bd8e84b completed April 18, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0148455afc8190931ba1316705ae0c completed May 11, 2026, 3:08 a.m.
Created at: April 10, 2026, 5:37 a.m.