Triple

T4436586
Position Surface form Disambiguated ID Type / Status
Subject Skvyra E95664 entity
Predicate hasLocalGovernment P2820 FINISHED
Object Skvyra city council E95664 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: Skvyra city council | Statement: [Skvyra, hasLocalGovernment, Skvyra city council]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skvyra city council
Context triple: [Skvyra, hasLocalGovernment, Skvyra city council]
  • A. Skvyra chosen
    Skvyra is a town in central Ukraine historically known for its significant Jewish community and cultural life in the 19th and early 20th centuries.
  • B. Kommunar
    Kommunar is a small town in Leningrad Oblast, Russia, known for its location along the Izhora River southeast of Saint Petersburg.
  • C. Vardzia
    Vardzia is a medieval cave monastery complex in southern Georgia, renowned for its extensive rock-cut dwellings and frescoed church.
  • D. Virvyčia
    Virvyčia is a river in northwestern Lithuania that serves as one of the tributaries feeding into the Venta River.
  • E. Švenčionys
    Švenčionys is a small historic town in eastern Lithuania known for its multicultural past and former Jewish community.
  • 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_69b3453ea2b48190a26f154b3b8fece5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3558b1d4481909060ede5e0ded4bc completed March 13, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6137960908190814cbdf0b4e56542 completed March 15, 2026, 2:03 a.m.
Created at: March 12, 2026, 11:31 p.m.