Triple

T11207719
Position Surface form Disambiguated ID Type / Status
Subject Narva River E265214 entity
Predicate locatedIn P40 FINISHED
Object Ida-Viru County E842085 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: Ida-Viru County | Statement: [Narva River, locatedIn, Ida-Viru County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ida-Viru County
Context triple: [Narva River, locatedIn, Ida-Viru County]
  • A. Ida-Viru County chosen
    Ida-Viru County is an administrative region in northeastern Estonia known for its industrial centers, oil shale industry, and significant Russian-speaking population.
  • B. Viljandi County
    Viljandi County is a rural administrative region in southern Estonia known for its lakes, forests, and historic town of Viljandi.
  • C. Lääne-Viru County
    Lääne-Viru County is a northeastern administrative region of Estonia known for its coastal landscapes, historic manors, and the town of Rakvere.
  • D. Tartu County
    Tartu County is an administrative region in eastern Estonia centered around the university city of Tartu and known for its cultural, educational, and economic significance.
  • E. Võru County
    Võru County is a rural region in southeastern Estonia known for its distinct South Estonian (Võro) linguistic and cultural heritage.
  • 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_69d6aac59460819089b9848b27f57848 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8d5f8908190903817f84c629ba1 completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4973a1b288190bacdf56f8d4977bd completed April 19, 2026, 8:50 a.m.
Created at: April 8, 2026, 9:30 p.m.