Triple

T3442351
Position Surface form Disambiguated ID Type / Status
Subject Institute of the Estonian Language E72593 entity
Predicate locatedIn P40 FINISHED
Object Harju County E113798 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: Harju County | Statement: [Institute of the Estonian Language, locatedIn, Harju County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harju County
Context triple: [Institute of the Estonian Language, locatedIn, Harju County]
  • A. Harju County chosen
    Harju County is a northern Estonian county on the Gulf of Finland that includes the nation’s capital, Tallinn, and serves as its main political and economic hub.
  • 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. Hiiu County
    Hiiu County is an administrative region of Estonia encompassing the island of Hiiumaa and its surrounding islets in the Baltic Sea.
  • D. Linn County
    Linn County is a county in western Oregon known for its timber industry, agriculture, and location in the Willamette Valley.
  • E. Halland County
    Halland County is a coastal county in southwestern Sweden known for its beaches along the Kattegat, agriculture, and proximity to the city of Gothenburg.
  • 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_69ad85b05c848190b7a28ceec2bd7b74 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adba28ec448190a6a07c5f16235fe3 completed March 8, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69b35486f7a08190885e98bb89e74f15 completed March 13, 2026, 12:04 a.m.
Created at: March 8, 2026, 3:16 p.m.