Triple

T8372612
Position Surface form Disambiguated ID Type / Status
Subject Kingisepp E197494 entity
Predicate partOf P40 FINISHED
Object Kingiseppsky District E420863 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: Kingiseppsky District | Statement: [Kingisepp, partOf, Kingiseppsky District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kingiseppsky District
Context triple: [Kingisepp, partOf, Kingiseppsky District]
  • A. Kingiseppsky District chosen
    Kingiseppsky District is an administrative and municipal district in northwestern Russia, located in Leningrad Oblast near the border with Estonia and the Gulf of Finland.
  • B. Lyuberetsky District
    Lyuberetsky District is an administrative and municipal district in Moscow Oblast, Russia, located southeast of Moscow and centered around the city of Lyubertsy.
  • C. Kholmsky District
    Kholmsky District is an administrative district in Russia for which the town of Kholmsk serves as the administrative center.
  • D. Smolninsky District
    Smolninsky District is a central administrative district of Saint Petersburg, Russia, known for its historic architecture and significant governmental and cultural institutions.
  • E. Gatchinsky District
    Gatchinsky District is an administrative and municipal district in northwestern Russia known for its historical town of Gatchina and proximity to Saint Petersburg.
  • 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_69ca82f56730819080cec5d991c76f4c completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb80a6944081909c4547688c9e70ae completed March 31, 2026, 8:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce4d9dff0081908219f9b2690d97fe completed April 2, 2026, 11:06 a.m.
Created at: March 30, 2026, 6:01 p.m.