Triple

T12211377
Position Surface form Disambiguated ID Type / Status
Subject Sarov E290967 entity
Predicate formerName P65 FINISHED
Object Arzamas-75 E969083 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: Arzamas-75 | Statement: [Sarov, formerName, Arzamas-75]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arzamas-75
Context triple: [Sarov, formerName, Arzamas-75]
  • A. Arzamas-16 chosen
    Arzamas-16 was the secret Soviet closed city and primary nuclear weapons research center, now known as Sarov.
  • B. Arzamas
    Arzamas is a historic Russian city known for its religious architecture and cultural heritage, located in Nizhny Novgorod Oblast.
  • C. Plesetsk
    Plesetsk is a town in Arkhangelsk Oblast in northwestern Russia known primarily for its proximity to the Plesetsk Cosmodrome, a major Russian space launch facility.
  • D. Novo-Ogaryovo
    Novo-Ogaryovo is a suburban governmental estate outside Moscow that serves as one of the primary official residences of Russian President Vladimir Putin.
  • E. Tula Arsenal
    Tula Arsenal is a historic Russian arms manufacturer renowned for producing a wide range of military firearms, including iconic Soviet-era rifles.
  • 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_69d6ab65923081909acfc61b7a612233 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c915f548190b34a743f0a3bb51a completed April 10, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e5666f48190a28eed761e7b9210 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:51 p.m.