Triple

T2663231
Position Surface form Disambiguated ID Type / Status
Subject Hrodna E54772 entity
Predicate administrativeCenterOf P383 FINISHED
Object Hrodna Region E301887 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: Hrodna Region | Statement: [Hrodna, administrativeCenterOf, Hrodna Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hrodna Region
Context triple: [Hrodna, administrativeCenterOf, Hrodna Region]
  • A. Grodno Region chosen
    Grodno Region is an administrative region in western Belarus known for its historic cities, diverse cultural heritage, and location along the borders with Poland and Lithuania.
  • B. Hrodna
    Hrodna is a historic city in western Belarus known for its well-preserved architecture and role as a major cultural and economic center of the region.
  • C. Mogilev Region
    Mogilev Region is an administrative region in eastern Belarus known for its industrial centers, agricultural production, and location along the Dnieper River.
  • D. Podolia
    Podolia is a historic region in western Ukraine known for its fertile plains, multicultural heritage, and strategic location between Eastern and Central Europe.
  • E. Volyn Oblast
    Volyn Oblast is an administrative region in northwestern Ukraine, bordering Poland and Belarus, known for its historic cities, forests, and lakes.
  • 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_69ab49e028948190b97e01d73548b1d9 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd96b9f1c8190a8a9460ca88a9aaf completed March 7, 2026, 7:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69afe88d510c81908cdd3337e0eaca2c completed March 10, 2026, 9:46 a.m.
Created at: March 6, 2026, 9:53 p.m.