Triple

T20745019
Position Surface form Disambiguated ID Type / Status
Subject Kielce Voivodeship (1945–1998) E510556 entity
Predicate containsAdministrativeTerritorialEntity P747 FINISHED
Object Białobrzegi 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: Białobrzegi | Statement: [Kielce Voivodeship (1945–1998), containsAdministrativeTerritorialEntity, Białobrzegi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Białobrzegi
Context triple: [Kielce Voivodeship (1945–1998), containsAdministrativeTerritorialEntity, Białobrzegi]
  • A. Białobrzegi chosen
    Białobrzegi is a small town in east-central Poland, known as the seat of Białobrzegi County in the Masovian region.
  • B. Brzesko
    Brzesko is a town in southern Poland known for its historical architecture and regional brewing traditions.
  • C. Brzeziny
    Brzeziny is a small settlement in southern Poland that serves as a popular starting point for hiking routes into the Tatra Mountains.
  • D. Braniewo
    Braniewo is a historic town in northern Poland near the Baltic coast, known as one of the oldest urban centers in the Warmia region.
  • E. Bielany
    Bielany is a northern district of Warsaw, Poland, known for its residential neighborhoods, green spaces, and connection to the city center via the Warsaw Metro.
  • 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_69e0b4c845e88190b4c5f3ae79291182 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c212b744819089bc1d47a020bd61 completed April 21, 2026, 12:17 a.m.
Created at: April 16, 2026, 12:33 p.m.