Triple

T6577277
Position Surface form Disambiguated ID Type / Status
Subject Franciszek Kleeberg E157199 entity
Predicate birthPlace P1 FINISHED
Object Tarnopol E613690 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: Tarnopol | Statement: [Franciszek Kleeberg, birthPlace, Tarnopol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tarnopol
Context triple: [Franciszek Kleeberg, birthPlace, Tarnopol]
  • A. Tarnopol chosen
    Tarnopol is a historic city in western Ukraine, now known as Ternopil, which has long served as a regional cultural and administrative center.
  • B. Kraśnik
    Kraśnik is a town in eastern Poland known for its historical architecture and location within the Lublin region.
  • C. Stanisławów
    Stanisławów is a historic city in the former eastern borderlands of Poland (now Ivano-Frankivsk in Ukraine), known for its multicultural heritage and shifting political history.
  • D. Lwów
    Lwów is a historic city in Eastern Europe, now known as Lviv in western Ukraine, long recognized as a major cultural and political center of the region.
  • E. Vizhnitz
    Vizhnitz is a prominent Hasidic dynasty originating in Eastern Europe, known for its strong emphasis on communal life, joyous worship, and adherence to traditional Jewish scholarship and customs.
  • 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_69c6882b3a108190b3a9eb343ae4162c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae74fd90819091d67eec6381d5e0 completed March 27, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7127fc0a081909589c2a05e457866 completed March 27, 2026, 11:27 p.m.
Created at: March 27, 2026, 1:54 p.m.