Triple

T4405273
Position Surface form Disambiguated ID Type / Status
Subject Samogitia E93714 entity
Predicate neighboringRegion P17964 FINISHED
Object Aukštaitija E279296 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: Aukštaitija | Statement: [Samogitia, neighboringRegion, Aukštaitija]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aukštaitija
Context triple: [Samogitia, neighboringRegion, Aukštaitija]
  • A. Aukštaitija chosen
    Aukštaitija is a historical and ethnographic region in northeastern Lithuania known for its lakes, forests, and strong preservation of traditional Lithuanian culture and dialects.
  • B. Samogitia
    Samogitia is a historic ethnographic region in northwestern Lithuania known for its distinct Samogitian dialect, strong cultural identity, and late Christianization compared to the rest of Europe.
  • C. Zemgale
    Zemgale is a historical and cultural region in southern Latvia, known for its fertile plains and agricultural significance.
  • D. Vilnius Region
    Vilnius Region is a historical area in and around the city of Vilnius, contested by Poland and Lithuania in the 20th century and later incorporated into the Lithuanian SSR under Soviet rule.
  • E. Sudetes
    The Sudetes are a mountain range in Central Europe spanning parts of Poland, the Czech Republic, and Germany, known for their forested peaks, mineral resources, and popular spa and ski resorts.
  • 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_69b345158c748190a2c040fce2da9980 completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b35488d5b8819087370dd77249aefb completed March 13, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69b5f6016bd881908099c4a9ab972580 completed March 14, 2026, 11:57 p.m.
Created at: March 12, 2026, 11:28 p.m.