Triple

T12546820
Position Surface form Disambiguated ID Type / Status
Subject Merkys River E299990 entity
Predicate flowsThrough P225 FINISHED
Object Grodno 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: Grodno Region | Statement: [Merkys River, flowsThrough, Grodno Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grodno Region
Context triple: [Merkys River, flowsThrough, Grodno 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. Vitebsk Region
    Vitebsk Region is an administrative region in northeastern Belarus known for its historical cities, cultural heritage, and diverse natural landscapes.
  • 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. Minsk Region
    Minsk Region is an administrative region in central Belarus that surrounds, but does not include, the national capital city of Minsk.
  • E. Grodno Governorate
    Grodno Governorate was a historical administrative region of the Russian Empire in present-day Belarus and parts of neighboring countries, notable as the birthplace of L. L. Zamenhof, the creator of Esperanto.
  • 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_69d6ada707008190aaec1238117c9379 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d95481ba28819099f7cd2de02e8837 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c6c21348190b851fce31df307e2 completed May 2, 2026, 10:36 p.m.
Created at: April 8, 2026, 9:57 p.m.