Triple

T17364341
Position Surface form Disambiguated ID Type / Status
Subject Talysh region E422148 entity
Predicate hasSubregion P285 FINISHED
Object Lerik region 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: Lerik region | Statement: [Talysh region, hasSubregion, Lerik region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lerik region
Context triple: [Talysh region, hasSubregion, Lerik region]
  • A. Lerik District chosen
    Lerik District is a mountainous administrative region in southern Azerbaijan known for its lush forests, long-living residents, and location near the Iranian border.
  • B. Lerik
    Lerik is a small mountainous city in southern Azerbaijan, known for its lush forests, cool climate, and reputation for residents with exceptional longevity.
  • C. Verden district
    Verden district is a rural administrative district in the state of Lower Saxony in northern Germany, known for its horse breeding traditions and location along the Aller and Weser rivers.
  • D. Kivalliq Region
    Kivalliq Region is an administrative region of Nunavut in northern Canada, known for its Inuit communities, tundra landscapes, and Arctic wildlife.
  • E. Hyllie district
    Hyllie district is a modern, rapidly developing area in southern Malmö, Sweden, known for its major event venues, shopping centers, and transport hub connecting to the Öresund region.
  • 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a4f52988190847230e119a35b87 completed April 19, 2026, 2:13 a.m.
Created at: April 10, 2026, 5:44 a.m.