Triple

T21208256
Position Surface form Disambiguated ID Type / Status
Subject Ösel–Wiek Diocese E522646 entity
Predicate historicalRegion P915 FINISHED
Object Läänemaa 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: Läänemaa | Statement: [Ösel–Wiek Diocese, historicalRegion, Läänemaa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Läänemaa
Context triple: [Ösel–Wiek Diocese, historicalRegion, Läänemaa]
  • A. Lääne maakond chosen
    Lääne maakond is a county in western Estonia known for its coastal landscapes, historic towns, and maritime heritage.
  • B. Virumaa
    Virumaa is a historical region in northern Estonia, known for its medieval heritage, coastal landscapes, and role as one of the country’s traditional cultural provinces.
  • C. Järvamaa
    Järvamaa is a historical region in central Estonia known for its rural landscapes, forests, and small towns such as Paide.
  • D. Uusimaa
    Uusimaa is a coastal region in southern Finland that includes the capital Helsinki and is known for its significant Swedish-speaking population and economic importance.
  • E. Southeastern Estonia
    Southeastern Estonia is a culturally distinct region of Estonia known for its Võro language heritage, rolling landscapes, and rich folk traditions.
  • 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_69e0b5112d8881909510b2dcdc93106d completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e734362c788190bc1b96d3b84c0ad1 completed April 21, 2026, 8:24 a.m.
Created at: April 16, 2026, 3:25 p.m.