Triple

T18843766
Position Surface form Disambiguated ID Type / Status
Subject Zielona Góra County E460861 entity
Predicate containsAdministrativeTerritorialEntity P747 FINISHED
Object Sulechów 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: Sulechów | Statement: [Zielona Góra County, containsAdministrativeTerritorialEntity, Sulechów]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sulechów
Context triple: [Zielona Góra County, containsAdministrativeTerritorialEntity, Sulechów]
  • A. Sulechów chosen
    Sulechów is a small town in western Poland, known as the birthplace of Nobel Prize–winning writer Olga Tokarczuk.
  • B. Sulejów
    Sulejów is a historic town in central Poland, known for its former Cistercian abbey and scenic location in the Łódź Voivodeship.
  • C. Surochów
    Surochów is a village in southeastern Poland, historically part of Galicia, known as the birthplace of Polish statesman Kazimierz Badeni.
  • D. Sułoszowa
    Sułoszowa is a village in southern Poland known for its unusually long, single-street layout and traditional rural character.
  • E. Sobieszów
    Sobieszów is a district of the city of Jelenia Góra in southwestern Poland, known for its proximity to the Karkonosze Mountains and the historic Chojnik Castle.
  • 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_69d8dcfa11e4819090ab1ef5bdcd2b2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5b8ec8c5c8190b15e6394d0018573 completed April 20, 2026, 5:26 a.m.
Created at: April 10, 2026, 11:56 a.m.