Triple

T7146817
Position Surface form Disambiguated ID Type / Status
Subject Bolesławiec pottery E166589 entity
Predicate placeOfOrigin P3743 FINISHED
Object Bolesławiec E315012 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: Bolesławiec | Statement: [Bolesławiec pottery, placeOfOrigin, Bolesławiec]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bolesławiec
Context triple: [Bolesławiec pottery, placeOfOrigin, Bolesławiec]
  • A. Bolesławiec chosen
    Bolesławiec is a historic town in southwestern Poland renowned for its traditional hand-decorated pottery.
  • B. Zbrzyca
    Zbrzyca is a river in northern Poland that flows through the Pomeranian region before joining the Brda River.
  • C. Brzesko
    Brzesko is a town in southern Poland known for its historical architecture and regional brewing traditions.
  • D. Glogów
    Glogów is a historic town in western Poland on the Oder River, known for its medieval origins and reconstructed Old Town.
  • 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_69c68886779c8190a8e3fbabffe68253 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e7d4f3388190941f03fd80b0c223 completed March 27, 2026, 8:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69d9330fa33c8190b507ad18362a6c64 completed April 10, 2026, 5:27 p.m.
Created at: March 27, 2026, 2:46 p.m.