Triple
T15621269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bajram Begaj |
E375559
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Begaj
Begaj is an Albanian surname most notably borne by Bajram Begaj, a prominent Albanian military officer and politician.
|
E1167860
|
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: Begaj | Statement: [Bajram Begaj, familyName, Begaj]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Begaj Context triple: [Bajram Begaj, familyName, Begaj]
-
A.
Bednja
Bednja is a river in northern Croatia that flows through the Zagorje region before joining the Drava River.
-
B.
Baška
Baška is a popular coastal town and tourist resort on the island of Krk in Croatia, known for its long pebble beach and historic old town.
-
C.
Sagarejo
Sagarejo is a town in eastern Georgia that serves as an important local center in the Kakheti wine-producing region.
-
D.
Bugojno
Bugojno is a town in central Bosnia and Herzegovina situated in the Vrbas river valley and known as a regional industrial and cultural center.
-
E.
Bileća
Bileća is a small town and municipality in southeastern Bosnia and Herzegovina, known for its nearby artificial lake and karst landscape.
- 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: Begaj Triple: [Bajram Begaj, familyName, Begaj]
Generated description
Begaj is an Albanian surname most notably borne by Bajram Begaj, a prominent Albanian military officer and politician.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Begaj Target entity description: Begaj is an Albanian surname most notably borne by Bajram Begaj, a prominent Albanian military officer and politician.
-
A.
Bednja
Bednja is a river in northern Croatia that flows through the Zagorje region before joining the Drava River.
-
B.
Baška
Baška is a popular coastal town and tourist resort on the island of Krk in Croatia, known for its long pebble beach and historic old town.
-
C.
Sagarejo
Sagarejo is a town in eastern Georgia that serves as an important local center in the Kakheti wine-producing region.
-
D.
Bugojno
Bugojno is a town in central Bosnia and Herzegovina situated in the Vrbas river valley and known as a regional industrial and cultural center.
-
E.
Bileća
Bileća is a small town and municipality in southeastern Bosnia and Herzegovina, known for its nearby artificial lake and karst landscape.
- 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e9a95f08190b0013ba1428849d3 |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f3da754819085a6bd9876b12c65 |
completed | May 9, 2026, 4:22 p.m. |
| NEDg | Description generation | batch_69ff605d94308190bccbfb4588f337e1 |
completed | May 9, 2026, 4:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff612340748190987e567e43460f62 |
completed | May 9, 2026, 4:30 p.m. |
Created at: April 10, 2026, 4:13 a.m.