Triple

T6656664
Position Surface form Disambiguated ID Type / Status
Subject Tarnów County E150961 entity
Predicate containsSettlement P847 FINISHED
Object Radłów E512586 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: Radłów | Statement: [Tarnów County, containsSettlement, Radłów]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Radłów
Context triple: [Tarnów County, containsSettlement, Radłów]
  • A. Radłów chosen
    Radłów is a small town in southern Poland known for its historical ties to the Lesser Poland region and its proximity to the city of Tarnów.
  • B. Limanowa
    Limanowa is a small town in southern Poland, located in the Lesser Poland Voivodeship, known for its historical significance and picturesque mountainous surroundings.
  • C. Zułów
    Zułów is a village in present-day Lithuania best known as the birthplace of Polish statesman and military leader Józef Piłsudski.
  • D. Rakoń
    Rakoń is a mountain peak in the Western Tatras on the Polish-Slovak border, popular with hikers for its scenic ridge views.
  • E. Żory
    Żory is a city in southern Poland known for its historical roots in the Silesian region and its mix of industrial and residential character.
  • 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_69c687f2c9508190a60b9aad31d3f358 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b06dbbf88190b39564a688c25a24 completed March 27, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6ef028ccc8190a56395075c9aabf7 completed March 27, 2026, 8:56 p.m.
Created at: March 27, 2026, 2:01 p.m.