Triple

T11161073
Position Surface form Disambiguated ID Type / Status
Subject Warmian-Masurian Voivodeship E264035 entity
Predicate containsCity P294 FINISHED
Object Bartoszyce E368767 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: Bartoszyce | Statement: [Warmian-Masurian Voivodeship, containsCity, Bartoszyce]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bartoszyce
Context triple: [Warmian-Masurian Voivodeship, containsCity, Bartoszyce]
  • A. Bartoszyce chosen
    Bartoszyce is a town in northern Poland known for its historical architecture and location near the border with Russia’s Kaliningrad Oblast.
  • B. Brzesko
    Brzesko is a town in southern Poland known for its historical architecture and regional brewing traditions.
  • C. Krotoszyn
    Krotoszyn is a historic town in west-central Poland known for its medieval origins and changing political affiliations, including periods under Prussian and German rule.
  • D. Bytów
    Bytów is a historic town in northern Poland known for its medieval Teutonic castle and picturesque setting within the Pomeranian region.
  • E. Olsztynek
    Olsztynek is a small historic town in northern Poland known for its open-air ethnographic museum and location within the picturesque Warmian-Masurian lake district.
  • 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_69d6aa9ccddc8190868998c8b7beb060 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8817a90819087820d5241c58851 completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69febfcbbf408190a87f471d2732148b completed May 9, 2026, 5:02 a.m.
Created at: April 8, 2026, 9:29 p.m.