Triple

T13337293
Position Surface form Disambiguated ID Type / Status
Subject George, Crown Prince of Serbia E317728 entity
Predicate birthPlace P1 FINISHED
Object Cetinje E144765 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: Cetinje | Statement: [George, Crown Prince of Serbia, birthPlace, Cetinje]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cetinje
Context triple: [George, Crown Prince of Serbia, birthPlace, Cetinje]
  • A. Cetinje chosen
    Cetinje is a historic town in Montenegro that served as the country’s old royal capital and cultural center.
  • B. Podgorica
    Podgorica is the capital and largest city of Montenegro, serving as its political, economic, and cultural center in the Balkans.
  • C. Pogradec
    Pogradec is a town in southeastern Albania known as a lakeside resort and cultural center on the shores of Lake Ohrid.
  • D. 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.
  • E. Smederevo
    Smederevo is a historic Serbian city on the Danube River, known for its large medieval fortress and role as a former capital of the Serbian Despotate.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99d00b75c8190af98784c7df904c8 completed April 11, 2026, 12:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f3bb06c8190beaf6dfbba9ff613 completed May 3, 2026, 10:11 a.m.
Created at: April 9, 2026, 9:31 p.m.