Triple
T4550952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Durrës |
E110160
|
entity |
| Predicate | hasRailConnectionTo |
P848
|
FINISHED |
| Object |
Elbasan
Elbasan is a city in central Albania known as an important industrial and transportation hub with historical roots dating back to the Ottoman era.
|
E469975
|
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: Elbasan | Statement: [Durrës, hasRailConnectionTo, Elbasan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elbasan Context triple: [Durrës, hasRailConnectionTo, Elbasan]
-
A.
Gjirokastër
Gjirokastër is a historic stone-built city in southern Albania, recognized as a UNESCO World Heritage Site for its well-preserved Ottoman-era architecture.
-
B.
Pogradec
Pogradec is a town in southeastern Albania known as a lakeside resort and cultural center on the shores of Lake Ohrid.
-
C.
Peshkopi
Peshkopi is a small town in northeastern Albania known as a regional center near the border with North Macedonia and the Korab mountain range.
-
D.
Vlora
Vlora is a major coastal city and seaport in southwestern Albania, strategically located on the Adriatic Sea.
-
E.
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.
- 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: Elbasan Triple: [Durrës, hasRailConnectionTo, Elbasan]
Generated description
Elbasan is a city in central Albania known as an important industrial and transportation hub with historical roots dating back to the Ottoman era.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Elbasan Target entity description: Elbasan is a city in central Albania known as an important industrial and transportation hub with historical roots dating back to the Ottoman era.
-
A.
Gjirokastër
Gjirokastër is a historic stone-built city in southern Albania, recognized as a UNESCO World Heritage Site for its well-preserved Ottoman-era architecture.
-
B.
Pogradec
Pogradec is a town in southeastern Albania known as a lakeside resort and cultural center on the shores of Lake Ohrid.
-
C.
Peshkopi
Peshkopi is a small town in northeastern Albania known as a regional center near the border with North Macedonia and the Korab mountain range.
-
D.
Vlora
Vlora is a major coastal city and seaport in southwestern Albania, strategically located on the Adriatic Sea.
-
E.
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.
- 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_69bd4412524c8190be5bcc9ddee91848 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd57f5a0a081909977ccbb8aba633c |
completed | March 20, 2026, 2:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be43897d5c8190a4119f1c90d0318b |
completed | March 21, 2026, 7:06 a.m. |
| NEDg | Description generation | batch_69be4603d32c819092c3c48a3ba41833 |
completed | March 21, 2026, 7:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be472cd6b88190bc998340ffd2b66e |
completed | March 21, 2026, 7:22 a.m. |
Created at: March 20, 2026, 1:05 p.m.