Triple

T7910449
Position Surface form Disambiguated ID Type / Status
Subject Tirana River E183683 entity
Predicate associatedWith P37 FINISHED
Object City of Tirana E33263 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: City of Tirana | Statement: [Tirana River, associatedWith, City of Tirana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Tirana
Context triple: [Tirana River, associatedWith, City of Tirana]
  • A. city of Shkodër
    The city of Shkodër is one of the oldest and most historically significant urban centers in northern Albania, known for its cultural heritage and strategic location near Lake Shkodër.
  • B. Tirana chosen
    Tirana is the capital and largest city of Albania, serving as its political, economic, and cultural center in the Balkans.
  • C. Municipality of Tirana
    The Municipality of Tirana is the capital city and largest urban, political, and economic center of Albania.
  • D. Pogradec
    Pogradec is a town in southeastern Albania known as a lakeside resort and cultural center on the shores of Lake Ohrid.
  • E. Metropolis of Berat
    The Metropolis of Berat is an Eastern Orthodox ecclesiastical jurisdiction centered in the historic city of Berat in Albania, overseeing local diocesan and religious affairs.
  • 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_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_69cc936b4d088190bfcfd3bc6c05f7e8 completed April 1, 2026, 3:39 a.m.
Created at: March 30, 2026, 5:04 p.m.