Triple

T3514785
Position Surface form Disambiguated ID Type / Status
Subject Seto E74279 entity
Predicate hasRegion P285 FINISHED
Object Southeastern Estonia E222913 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: Southeastern Estonia | Statement: [Seto, hasRegion, Southeastern Estonia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Southeastern Estonia
Context triple: [Seto, hasRegion, Southeastern Estonia]
  • A. Southern Estonia chosen
    Southern Estonia is a region of Estonia known for its hilly landscapes, forests, and cultural center Tartu, the country’s second-largest city and main university town.
  • B. Hiiumaa
    Hiiumaa is Estonia’s second-largest island, located in the Baltic Sea and known for its unspoiled nature, lighthouses, and quiet rural landscapes.
  • C. 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.
  • D. Swedish Livonia
    Swedish Livonia was a former dominion of the Swedish Empire in the eastern Baltic region, encompassing parts of present-day Latvia and Estonia.
  • E. Latgale
    Latgale is a culturally distinct historical region in eastern Latvia, known for its lakes, rolling landscapes, and strong Latgalian linguistic and Catholic traditions.
  • 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_69ad85cfb5c881909c9a2edd9d6043cc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc2efa4c8190ac1ca221f3f0eba4 completed March 8, 2026, 6:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e7a5ab08190971c9dfd6550eb2d completed March 13, 2026, 3:03 a.m.
Created at: March 8, 2026, 3:19 p.m.