Triple
T829606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Italian invasion of Albania |
E17933
|
entity |
| Predicate | keyLandingSite |
P20477
|
FINISHED |
| Object |
Vlora
Vlora is a major coastal city and seaport in southwestern Albania, strategically located on the Adriatic Sea.
|
E111395
|
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: Vlora | Statement: [Italian invasion of Albania, keyLandingSite, Vlora]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vlora Context triple: [Italian invasion of Albania, keyLandingSite, Vlora]
-
A.
Durrës
Durrës is a major port city on the Adriatic coast of Albania, historically significant as a strategic maritime gateway and one of the country’s oldest urban centers.
-
B.
Tirana
Tirana is the capital and largest city of Albania, serving as its political, economic, and cultural center in the Balkans.
-
C.
Monastir
Monastir, known today as Bitola in North Macedonia, is a historic Balkan city that played a significant strategic role during World War I.
-
D.
Poti
Poti is a port city on Georgia’s Black Sea coast that serves as a major maritime and transportation hub for the country.
-
E.
Ohrid
Ohrid is a historic lakeside city in North Macedonia renowned as an early Slavic Christian and cultural center, famed for its medieval churches and monasteries.
- 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: Vlora Triple: [Italian invasion of Albania, keyLandingSite, Vlora]
Generated description
Vlora is a major coastal city and seaport in southwestern Albania, strategically located on the Adriatic Sea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vlora Target entity description: Vlora is a major coastal city and seaport in southwestern Albania, strategically located on the Adriatic Sea.
-
A.
Durrës
Durrës is a major port city on the Adriatic coast of Albania, historically significant as a strategic maritime gateway and one of the country’s oldest urban centers.
-
B.
Tirana
Tirana is the capital and largest city of Albania, serving as its political, economic, and cultural center in the Balkans.
-
C.
Monastir
Monastir, known today as Bitola in North Macedonia, is a historic Balkan city that played a significant strategic role during World War I.
-
D.
Poti
Poti is a port city on Georgia’s Black Sea coast that serves as a major maritime and transportation hub for the country.
-
E.
Ohrid
Ohrid is a historic lakeside city in North Macedonia renowned as an early Slavic Christian and cultural center, famed for its medieval churches and monasteries.
- 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_69a4937c9c188190aaa216f6b466f452 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b2b503d48190bd4f33548a22d5fe |
completed | March 1, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a826cf14808190a4afc2a7b6c66845 |
completed | March 4, 2026, 12:34 p.m. |
| NEDg | Description generation | batch_69a83432d9188190aa11be0f29dfdeaa |
completed | March 4, 2026, 1:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a834bb8ff481909b6aa00274d22598 |
completed | March 4, 2026, 1:33 p.m. |
Created at: March 1, 2026, 7:38 p.m.