Triple

T10631457
Position Surface form Disambiguated ID Type / Status
Subject Kholmogorsky District E250465 entity
Predicate containsSettlement P847 FINISHED
Object Kholmogory E49011 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: Kholmogory | Statement: [Kholmogorsky District, containsSettlement, Kholmogory]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kholmogory
Context triple: [Kholmogorsky District, containsSettlement, Kholmogory]
  • A. Kholmogory chosen
    Kholmogory is a historic Russian town in the Arkhangelsk region that served as an important early northern trading and administrative center.
  • B. Ust-Izhora
    Ust-Izhora is a settlement in the Leningrad Oblast of Russia located at the confluence of the Izhora and Neva rivers, historically notable as a strategic and trading point.
  • C. Krasnoufimsk
    Krasnoufimsk is a small historic town in Russia’s Ural region, known for its traditional architecture and role as a local administrative and cultural center.
  • D. Ust-Luga
    Ust-Luga is a major Russian Baltic Sea port town that serves as a key cargo and energy export hub for the Leningrad Oblast region.
  • E. Novorybnaya
    Novorybnaya is a small rural settlement located along the Khatanga River in the remote Arctic region of northern Siberia, Russia.
  • 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6df94dc1c8190b6347eaf35a5acc2 completed April 8, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69d9884dab1481909c868f7d54265a60 completed April 10, 2026, 11:31 p.m.
Created at: April 8, 2026, 9:01 p.m.