Triple

T5152684
Position Surface form Disambiguated ID Type / Status
Subject Asher Zvi Hirsch Ginsberg E116233 entity
Predicate placeOfBirth P1 FINISHED
Object Skvyra 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 | Statement: [Asher Zvi Hirsch Ginsberg, placeOfBirth, Skvyra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skvyra
Context triple: [Asher Zvi Hirsch Ginsberg, placeOfBirth, Skvyra]
  • 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. Prystaiko
    Prystaiko is the surname of Vadym Prystaiko, a Ukrainian diplomat and former Minister of Foreign Affairs.
  • C. Vardzia
    Vardzia is a medieval cave monastery complex in southern Georgia, renowned for its extensive rock-cut dwellings and frescoed church.
  • D. Varniai
    Varniai is a historic town in Lithuania that once served as a key political and religious center of the Samogitian region.
  • E. Prienai
    Prienai is a small town in central Lithuania known for its location along the Nemunas River and its local basketball tradition.
  • 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_69bd445d94788190b72e2cc563120995 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd78daab708190a42734a14dddb2fc completed March 20, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed0099afc8190badca81bd5efb8f6 completed March 21, 2026, 5:06 p.m.
Created at: March 20, 2026, 1:44 p.m.