Triple

T13122027
Position Surface form Disambiguated ID Type / Status
Subject Rawa Piasts E311746 entity
Predicate capital P234 FINISHED
Object Rawa Mazowiecka 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: Rawa Mazowiecka | Statement: [Rawa Piasts, capital, Rawa Mazowiecka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rawa Mazowiecka
Context triple: [Rawa Piasts, capital, Rawa Mazowiecka]
  • A. Rawa Mazowiecka chosen
    Rawa Mazowiecka is a historic town in central Poland, known for its medieval origins and role as a regional center in the Mazovian region.
  • B. Ostrołęka
    Ostrołęka is a town in east-central Poland known for its historical role in the Napoleonic Wars and as a local industrial and administrative center.
  • C. Ostrów Mazowiecka
    Ostrów Mazowiecka is a town in northeastern Poland known as a local administrative and commercial center with historical roots dating back to the Middle Ages.
  • D. Otwock
    Otwock is a town in east-central Poland known as a suburban spa and residential area within the broader Warsaw region.
  • E. Pszczyna
    Pszczyna is a historic town in southern Poland known for its well-preserved castle complex and picturesque old town.
  • 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_69d806a9fe888190b081e2d9ea665d6c completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9819840b881909b76022b4c4dcaed completed April 10, 2026, 11:02 p.m.
Created at: April 9, 2026, 9:06 p.m.