Triple

T16736206
Position Surface form Disambiguated ID Type / Status
Subject Suceava E406724 entity
Predicate isPartOf P10 FINISHED
Object Suceava County 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: Suceava County | Statement: [Suceava, isPartOf, Suceava County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suceava County
Context triple: [Suceava, isPartOf, Suceava County]
  • A. Suceava County chosen
    Suceava County is an administrative region in northeastern Romania, encompassing a large part of the historical and cultural area of Bukovina.
  • B. Argeș County
    Argeș County is an administrative region in southern Romania, known for encompassing part of the Southern Carpathians and including Romania’s highest peak, Moldoveanu.
  • C. Dâmbovița County
    Dâmbovița County is an administrative region in southern Romania, part of the historical region of Muntenia, with Târgoviște as its capital.
  • D. Ialomița County
    Ialomița County is an administrative region in southeastern Romania, located in the historical region of Muntenia and known for its predominantly agricultural landscape along the lower Danube Plain.
  • E. Vâlcea County
    Vâlcea County is an administrative region in south-central Romania, known for its mountainous landscapes, spa resorts, and historical monasteries.
  • 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_69d8838ffb088190a0b11149929006bf completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e39c3a86848190a03f243dd1bdb899 completed April 18, 2026, 2:59 p.m.
Created at: April 10, 2026, 5:20 a.m.