Triple

T2824707
Position Surface form Disambiguated ID Type / Status
Subject Adria Airways E54891 entity
Predicate servedCity P3936 FINISHED
Object 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: Tirana | Statement: [Adria Airways, servedCity, Tirana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tirana
Context triple: [Adria Airways, servedCity, 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. 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.
  • C. Pristina
    Pristina is the capital and largest city of Kosovo, serving as its political, economic, and cultural center in the central Balkans.
  • D. Gjirokastër
    Gjirokastër is a historic stone-built city in southern Albania, recognized as a UNESCO World Heritage Site for its well-preserved Ottoman-era architecture.
  • E. Prizren
    Prizren is a historic and culturally rich city in southern Kosovo, known for its well-preserved Ottoman-era architecture and diverse religious heritage.
  • 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_69ab49e100c0819082a40cb797383243 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde91487881909989c08bbf76f0da completed March 7, 2026, 8:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69b0312dd4848190b30f6fcc11c2c954 completed March 10, 2026, 2:56 p.m.
Created at: March 6, 2026, 9:59 p.m.