Triple

T4926693
Position Surface form Disambiguated ID Type / Status
Subject Kashubians E110593 entity
Predicate culturalCenter P4313 FINISHED
Object Bytów E286474 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: Bytów | Statement: [Kashubians, culturalCenter, Bytów]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bytów
Context triple: [Kashubians, culturalCenter, Bytów]
  • A. Bytów chosen
    Bytów is a historic town in northern Poland known for its medieval Teutonic castle and picturesque setting within the Pomeranian region.
  • B. Bartoszyce
    Bartoszyce is a town in northern Poland known for its historical architecture and location near the border with Russia’s Kaliningrad Oblast.
  • C. Białogard
    Białogard is a historic town in northwestern Poland, located in the West Pomeranian Voivodeship on the Parsęta River.
  • D. Tczew
    Tczew is a historic town in northern Poland on the Vistula River, known for its important railway bridges and role as a regional transport hub.
  • E. Racibórz
    Racibórz is a historic town in southern Poland, located in the Silesian region near the Czech border, known for its medieval heritage and industrial traditions.
  • 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_69bd4415190c8190817bee7ec9f9f944 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd70354bd081909291a43439f42ed3 completed March 20, 2026, 4:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71a548f8081909e347a1c7cd4e9fc completed March 28, 2026, 12:01 a.m.
Created at: March 20, 2026, 1:30 p.m.