Triple

T5217690
Position Surface form Disambiguated ID Type / Status
Subject Magadan Oblast E117792 entity
Predicate associatedWith P37 FINISHED
Object Dalstroy E123493 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: Dalstroy | Statement: [Magadan Oblast, associatedWith, Dalstroy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dalstroy
Context triple: [Magadan Oblast, associatedWith, Dalstroy]
  • A. Dalstroy chosen
    Dalstroy was a Soviet state organization under the NKVD that managed forced labor camps and large-scale mining and construction projects in the Kolyma region.
  • B. Zabivaka
    Zabivaka is the wolf character that served as the official mascot for major international football tournaments hosted by Russia, including the 2018 FIFA World Cup.
  • C. Iron Felix
    Iron Felix is the nickname of Felix Dzerzhinsky, the Soviet revolutionary who founded and led the Cheka, the Bolshevik secret police.
  • D. Modrow
    Modrow is a German surname most notably associated with Hans Modrow, the last communist premier of East Germany.
  • E. Blix
    Blix is a 19th-century novel by American naturalist writer Frank Norris that follows a young woman’s coming-of-age and romantic experiences in San Francisco.
  • 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_69bd4465e03081909bfcfd7113062590 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7a95abdc8190b0babd79cea1360e completed March 20, 2026, 4:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69beefebe3b081909f3fe50cf3d73653 completed March 21, 2026, 7:22 p.m.
Created at: March 20, 2026, 1:48 p.m.