Triple

T8357921
Position Surface form Disambiguated ID Type / Status
Subject Governorate of Estonia E196724 entity
Predicate contains P35 FINISHED
Object Lääne County E491067 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: Lääne County | Statement: [Governorate of Estonia, contains, Lääne County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lääne County
Context triple: [Governorate of Estonia, contains, Lääne County]
  • A. Lääne County chosen
    Lääne County is a coastal administrative region in western Estonia known for its historic town of Haapsalu and its Baltic Sea shoreline.
  • B. Saare County
    Saare County is a county in western Estonia that encompasses the islands of Saaremaa and several smaller islands in the Baltic Sea.
  • C. Steuben County
    Steuben County is a largely rural county in New York State’s Southern Tier region, known for its small towns, rolling hills, and proximity to the Finger Lakes.
  • D. Upson County
    Upson County is a county in central Georgia, United States, known for its seat in Thomaston and its mix of rural communities and small-town industry.
  • E. Cass County
    Cass County is a rural county in southwestern Iowa known for its agricultural landscape and small communities.
  • 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_69ca82f08b348190bfb7881944bbff6f completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb806fa5c88190b23b6b3ee9d6ec6d completed March 31, 2026, 8:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf27cace5c8190b871c632a075cb0a completed April 3, 2026, 2:36 a.m.
Created at: March 30, 2026, 5:59 p.m.