Triple

T8871983
Position Surface form Disambiguated ID Type / Status
Subject Ribnica Bridge E211178 entity
Predicate locatedIn P40 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: [Ribnica Bridge, locatedIn, Podgorica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Podgorica
Context triple: [Ribnica Bridge, locatedIn, 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_69ca838e78748190934d82db3104f855 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc61281e888190a32b08980310979f completed April 1, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc1b6d2ec81909765ea1a368b090d completed April 3, 2026, 1:33 p.m.
Created at: March 30, 2026, 6:51 p.m.