Triple

T7553803
Position Surface form Disambiguated ID Type / Status
Subject Podgorica Airport E178605 entity
Predicate cityServed P82 FINISHED
Object Podgorica E33689 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: Podgorica | Statement: [Podgorica Airport, cityServed, Podgorica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Podgorica
Context triple: [Podgorica Airport, cityServed, Podgorica]
  • A. Podgorica chosen
    Podgorica is the capital and largest city of Montenegro, serving as its political, economic, and cultural center in the Balkans.
  • B. Cetinje
    Cetinje is a historic town in Montenegro that served as the country’s old royal capital and cultural center.
  • C. Herceg Novi
    Herceg Novi is a coastal town in western Montenegro known for its historic old town, fortresses, and scenic location at the entrance to the Bay of Kotor.
  • D. Supetar
    Supetar is the main port and largest town on the Croatian island of Brač, known for its Adriatic seaside setting and role as a local tourism and transport hub.
  • E. Budva
    Budva is a historic coastal town on the Adriatic Sea, famous for its medieval old town, sandy beaches, and role as a major tourist destination in Montenegro.
  • 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_69c69f2da22c8190a50942ac20af70e8 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8b990148190b26a3a262cf538b3 completed March 27, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be17b3ec81909fc52c5570d39fb7 completed March 29, 2026, 5:52 a.m.
Created at: March 27, 2026, 3:49 p.m.