Triple

T17992669
Position Surface form Disambiguated ID Type / Status
Subject Madona E430414 entity
Predicate locatedIn P40 FINISHED
Object eastern Latvia 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: eastern Latvia | Statement: [Madona, locatedIn, eastern Latvia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: eastern Latvia
Context triple: [Madona, locatedIn, eastern Latvia]
  • A. Northern Latvia
    Northern Latvia is a scenic area of Latvia known for its forests, hills, and river valleys, including the course of the Gauja River.
  • B. eastern Lithuania
    Eastern Lithuania is a geographic region of Lithuania characterized by its forests, lakes, and proximity to the borders with Belarus and Latvia.
  • C. eastern Estonia
    Eastern Estonia is a geographical region of Estonia that includes areas such as Tartu County and is characterized by its cultural, educational, and economic significance centered around the city of Tartu.
  • D. Latgale chosen
    Latgale is a culturally distinct historical region in eastern Latvia, known for its lakes, rolling landscapes, and strong Latgalian linguistic and Catholic traditions.
  • E. Southwestern Lithuania
    Southwestern Lithuania is a historical and geographical region of Lithuania characterized by its proximity to the Polish border, mixed cultural influences, and predominantly rural landscapes.
  • 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_69d8b90364248190a37381adea932f42 completed April 10, 2026, 8:46 a.m.
NER Named-entity recognition batch_69e4b2a0f8588190b6090c7cce60a35f completed April 19, 2026, 10:46 a.m.
Created at: April 10, 2026, 10:23 a.m.