Triple

T10543447
Position Surface form Disambiguated ID Type / Status
Subject Azov E248753 entity
Predicate historicalRegion P915 FINISHED
Object Don region E229102 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: Don region | Statement: [Azov, historicalRegion, Don region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Don region
Context triple: [Azov, historicalRegion, Don region]
  • A. Don region chosen
    The Don region is a historical area in southern Russia centered around the Don River, traditionally associated with the homeland of the Don Cossacks.
  • B. Trièves region
    The Trièves region is a rural area in the French Prealps known for its dramatic mountain scenery, traditional villages, and outdoor recreation opportunities.
  • C. San-Pédro Region
    San-Pédro Region is an administrative region in southwestern Ivory Coast known for its major port city of San-Pédro and its role in the country’s cocoa and timber industries.
  • D. Choiseul region
    The Choiseul region is an area of the Solomon Islands centered on Choiseul Island, known for its indigenous communities and use of Northwest Solomonic languages.
  • E. Labé Region
    Labé Region is an administrative region in central Guinea known for its mountainous landscapes and cultural significance within the Fouta Djallon highlands.
  • 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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d51911b10481909e6e548879e8de36 completed April 7, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d9343c5c308190952596e5254b6a65 completed April 10, 2026, 5:32 p.m.
Created at: April 6, 2026, 12:32 p.m.