Triple

T1253166
Position Surface form Disambiguated ID Type / Status
Subject Luna 2 E26923 entity
Predicate manufacturer P490 FINISHED
Object OKB-1 E61666 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: OKB-1 | Statement: [Luna 2, manufacturer, OKB-1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OKB-1
Context triple: [Luna 2, manufacturer, OKB-1]
  • A. OKB-1 chosen
    OKB-1 was the Soviet Union’s leading spacecraft and rocket design bureau that developed early ballistic missiles and the first spacecraft under chief designer Sergei Korolev.
  • B. Oker
    The Oker is a river in central Germany that flows northward from the Harz Mountains through Lower Saxony before joining the Aller.
  • C. Blisk
    Blisk is a fictional setting or universe in which the character or concept known as Blink appears or is utilized.
  • D. Kornienko
    Kornienko is a Ukrainian surname most notably borne by Oleksandr Kornienko, a contemporary Ukrainian politician and public figure.
  • E. OKW
    OKW (Oberkommando der Wehrmacht) was the German Armed Forces High Command during Nazi Germany, overseeing the strategic direction and coordination of the Wehrmacht in World War II.
  • 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_69a49487a9c48190ba9b05348fd1b53f completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf875cf48190b6781d41097ee39b completed March 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac93c903488190bcbf1928699bafd2 completed March 7, 2026, 9:08 p.m.
Created at: March 1, 2026, 7:47 p.m.