Triple
T4908762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lovćen National Park |
E109978
|
entity |
| Predicate | nearestCity |
P350
|
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: [Lovćen National Park, nearestCity, Cetinje]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cetinje Context triple: [Lovćen National Park, nearestCity, 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_69bd441180708190ba42ffb44fea533a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e765094819099481f4f2dd7c47d |
completed | March 20, 2026, 3:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be6fe098b081908e17d6d349b76364 |
completed | March 21, 2026, 10:16 a.m. |
Created at: March 20, 2026, 1:29 p.m.