Triple
T18397796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Şemseddin Sami |
E449912
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object | Frashër |
E1053298
|
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: Frashër | Statement: [Şemseddin Sami, birthPlace, Frashër]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frashër Context triple: [Şemseddin Sami, birthPlace, Frashër]
-
A.
Frashër
chosen
Frashër is a historic mountain village in southern Albania known for its cultural heritage and scenic landscapes.
-
B.
Kukës
Kukës is a northeastern Albanian city near the border with Kosovo, known for its mountainous surroundings and its role as a refuge during the Kosovo War.
-
C.
Lushnjë
Lushnjë is a city in central Albania known for its agricultural importance and role in the country’s political history.
-
D.
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.
-
E.
Dukagjini
Dukagjini is a historical and geographical region in the western Balkans, primarily in western Kosovo, known for its cultural heritage and mountainous landscapes.
- 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_69d8b9fab8a8819086a9ddc0871715e0 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e5184879548190b7f428e2d4c2caa4 |
completed | April 19, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03e2427c448190b3562d7cb0313d5a |
completed | May 13, 2026, 2:30 a.m. |
Created at: April 10, 2026, 10:46 a.m.