Triple
T230223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Balkans |
E4394
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Podgorica
Podgorica is the capital and largest city of Montenegro, serving as its political, economic, and cultural center in the Balkans.
|
E33689
|
NE FINISHED |
How this triple was built (4 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: [Balkans, hasMajorCity, Podgorica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Podgorica Context triple: [Balkans, hasMajorCity, Podgorica]
-
A.
Belgrade
Belgrade is the capital and largest city of Serbia, historically significant as a strategic crossroads between Central Europe and the Balkans on the confluence of the Sava and Danube rivers.
-
B.
Sarajevo
Sarajevo is the capital and largest city of Bosnia and Herzegovina, historically known as the site of Archduke Franz Ferdinand’s assassination that sparked World War I.
-
C.
Tirana
Tirana is the capital and largest city of Albania, serving as its political, economic, and cultural center in the Balkans.
-
D.
Skopje
Skopje is the capital and largest city of North Macedonia, known for its historic Ottoman and Byzantine heritage alongside extensive modern redevelopment.
-
E.
Zagreb
Zagreb is the capital and largest city of Croatia, known as a political, cultural, and economic hub in the Balkans.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Podgorica Triple: [Balkans, hasMajorCity, Podgorica]
Generated description
Podgorica is the capital and largest city of Montenegro, serving as its political, economic, and cultural center in the Balkans.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Podgorica Target entity description: Podgorica is the capital and largest city of Montenegro, serving as its political, economic, and cultural center in the Balkans.
-
A.
Belgrade
Belgrade is the capital and largest city of Serbia, historically significant as a strategic crossroads between Central Europe and the Balkans on the confluence of the Sava and Danube rivers.
-
B.
Sarajevo
Sarajevo is the capital and largest city of Bosnia and Herzegovina, historically known as the site of Archduke Franz Ferdinand’s assassination that sparked World War I.
-
C.
Tirana
Tirana is the capital and largest city of Albania, serving as its political, economic, and cultural center in the Balkans.
-
D.
Skopje
Skopje is the capital and largest city of North Macedonia, known for its historic Ottoman and Byzantine heritage alongside extensive modern redevelopment.
-
E.
Zagreb
Zagreb is the capital and largest city of Croatia, known as a political, cultural, and economic hub in the Balkans.
- F. None of above. chosen
Provenance (5 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_69a257363ffc81909757bde7ab3404da |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25cac7994819080b0b3b10808f8e5 |
completed | Feb. 28, 2026, 3:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3836ea55c81909135f5f061e47da5 |
completed | March 1, 2026, 12:08 a.m. |
| NEDg | Description generation | batch_69a38453dee88190a2b88b147cd826e9 |
completed | March 1, 2026, 12:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a384b1c0f48190be08f3a44778548d |
completed | March 1, 2026, 12:13 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.