Triple

T20051758
Position Surface form Disambiguated ID Type / Status
Subject Piotrków County E499216 entity
Predicate hasNeighbouringAdministrativeUnit P68114 FINISHED
Object Sulejów NE NERFINISHED

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: Sulejów | Statement: [Piotrków County, hasNeighbouringAdministrativeUnit, Sulejów]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sulejów
Context triple: [Piotrków County, hasNeighbouringAdministrativeUnit, Sulejów]
  • A. Sulejów chosen
    Sulejów is a historic town in central Poland, known for its former Cistercian abbey and scenic location in the Łódź Voivodeship.
  • B. Sulechów
    Sulechów is a small town in western Poland, known as the birthplace of Nobel Prize–winning writer Olga Tokarczuk.
  • C. Sułoszowa
    Sułoszowa is a village in southern Poland known for its unusually long, single-street layout and traditional rural character.
  • D. Sułów
    Sułów is a village in eastern Poland located within Zamość County in the Lublin Voivodeship.
  • E. Służewiec
    Służewiec is a district in Warsaw, Poland, known for its business centers, residential areas, and the historic Służewiec Horse Race Track.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6276bcf48190aabbf279192a5fb4 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6632ee4d48190b9de3a1efa064492 completed April 20, 2026, 5:32 p.m.
Created at: April 11, 2026, 3:38 p.m.