Triple

T7910459
Position Surface form Disambiguated ID Type / Status
Subject Tirana River E183683 entity
Predicate hasUrbanSection P11388 FINISHED
Object Tirana E33263 NE FINISHED

How this triple was built (3 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: Tirana | Statement: [Tirana River, hasUrbanSection, Tirana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tirana
Context triple: [Tirana River, hasUrbanSection, Tirana]
  • A. Tirana chosen
    Tirana is the capital and largest city of Albania, serving as its political, economic, and cultural center in the Balkans.
  • B. Pogradec
    Pogradec is a town in southeastern Albania known as a lakeside resort and cultural center on the shores of Lake Ohrid.
  • C. Lezhë
    Lezhë is a historic town in northwestern Albania, known as the site of the League of Lezhë and for its cultural and archaeological heritage.
  • D. Durrës
    Durrës is a major port city on the Adriatic coast of Albania, historically significant as a strategic maritime gateway and one of the country’s oldest urban centers.
  • E. Pristina
    Pristina is the capital and largest city of Kosovo, serving as its political, economic, and cultural center in the central Balkans.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasUrbanSection
Context triple: [Tirana River, hasUrbanSection, Tirana]
  • A. hasUrbanFunction
    Indicates that an entity serves a specific role or purpose within an urban context, such as providing services, infrastructure, or activities typical of a city environment.
  • B. hasUrbanFeature
    Indicates that a place or area possesses a specific urban element or infrastructure feature (such as roads, parks, or buildings) as part of its built environment.
  • C. hasUrbanDistrictFunction
    Indicates that an entity serves the administrative or functional role of an urban district within a larger territorial or governance structure.
  • D. hasSuburbanSection
    Indicates that a larger route, line, or area includes a portion that passes through or serves a suburban region.
  • E. containsUrbanArea chosen
    Indicates that a geographic region fully or partially encompasses an urbanized area within its boundaries.
  • F. None of above.

Provenance (4 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_69ca828dec0c81908b8f55a4dbbb53ff completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a5db9508190bbe92673ef5a7861 completed March 31, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbdd1ad348190b0a01aa4a4f360d4 completed April 1, 2026, 6:40 a.m.
PD Predicate disambiguation batch_69cae92f9498819085277879e59aa072 completed March 30, 2026, 9:20 p.m.
Created at: March 30, 2026, 5:04 p.m.