Triple

T14569793
Position Surface form Disambiguated ID Type / Status
Subject Gmina Sułoszowa E341880 entity
Predicate administrativeCenter P1474 FINISHED
Object Sułoszowa E445686 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: Sułoszowa | Statement: [Gmina Sułoszowa, administrativeCenter, Sułoszowa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sułoszowa
Context triple: [Gmina Sułoszowa, administrativeCenter, Sułoszowa]
  • A. Sułoszowa chosen
    Sułoszowa is a village in southern Poland known for its unusually long, single-street layout and traditional rural character.
  • B. Świętoszów
    Świętoszów is a village in southwestern Poland known for its large military training grounds and long-standing role as a garrison town.
  • C. Szydłów
    Szydłów is a historic village in south-central Poland, often called the "Polish Carcassonne" for its well-preserved medieval defensive walls and architecture.
  • D. Goleszów
    Goleszów is a village in southern Poland that serves as the seat of Gmina Goleszów in the Silesian Voivodeship.
  • E. Sulechów
    Sulechów is a small town in western Poland, known as the birthplace of Nobel Prize–winning writer Olga Tokarczuk.
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb3f2121481908f2385637944785d completed April 14, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a014819dfbc8190b39a10647f9ba64c completed May 11, 2026, 3:08 a.m.
Created at: April 10, 2026, 1:23 a.m.