Triple

T17258438
Position Surface form Disambiguated ID Type / Status
Subject Nowy Dwór County E418943 entity
Predicate hasUrbanRuralGmina P63972 FINISHED
Object Nasielsk E1259491 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: Nasielsk | Statement: [Nowy Dwór County, hasUrbanRuralGmina, Nasielsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nasielsk
Context triple: [Nowy Dwór County, hasUrbanRuralGmina, Nasielsk]
  • A. Nasielsk chosen
    Nasielsk is a small historic town in east-central Poland, located in the Masovian Voivodeship.
  • B. Krasnobród
    Krasnobród is a small town in southeastern Poland known for its historical role in World War II and as a local tourist and spa destination in the Roztocze region.
  • C. Koserow
    Koserow is a seaside resort village on the Baltic Sea coast of the island of Usedom in northeastern Germany, known for its beaches and coastal landscapes.
  • D. Poniatowa
    Poniatowa is a town in eastern Poland historically known as the site of a Nazi German forced labor camp during World War II.
  • E. Jastarnia
    Jastarnia is a seaside resort town and fishing port on Poland’s Baltic coast, popular for its beaches and water sports.
  • 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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e6ea7588190a94d222504a8cef5 completed April 19, 2026, 1:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0179445cac8190833eb7cd879a93bd completed May 11, 2026, 6:37 a.m.
Created at: April 10, 2026, 5:39 a.m.