Triple

T15561175
Position Surface form Disambiguated ID Type / Status
Subject Yakutsk Time E371000 entity
Predicate appliesToRegion P82 FINISHED
Object Yakutsk E23786 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: Yakutsk | Statement: [Yakutsk Time, appliesToRegion, Yakutsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yakutsk
Context triple: [Yakutsk Time, appliesToRegion, Yakutsk]
  • A. Yakutsk chosen
    Yakutsk is a major city in northeastern Siberia, Russia, known as one of the coldest large cities in the world and a key administrative and cultural center of the Sakha Republic.
  • B. Irkutsk
    Irkutsk is a major city in southeastern Siberia, Russia, historically significant as a political and administrative center and a key hub during the Russian Civil War.
  • C. Apatity
    Apatity is an industrial and scientific town in Russia’s Murmansk Oblast, known for its phosphate mining and research institutes within the Arctic Kola Peninsula region.
  • D. Tobolsk
    Tobolsk is a historic Siberian town in Russia known for its Kremlin and as a place of exile and imprisonment during the late imperial period.
  • E. Severobaikalsk
    Severobaikalsk is a small town in northern Buryatia, Russia, located on the northern shore of Lake Baikal and serving as an important transport hub in eastern Siberia.
  • 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ddb4c0c81909b3f4c75c91f7f3f completed April 16, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe4670e8881908bc9f3879ba208ba completed May 10, 2026, 1:50 a.m.
Created at: April 10, 2026, 4:09 a.m.