Triple
T19564109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Albania |
E489533
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Kukës |
E1068445
|
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: Kukës | Statement: [Northern Albania, contains, Kukës]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kukës Context triple: [Northern Albania, contains, Kukës]
-
A.
Kukës
chosen
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.
-
B.
Korçë
Korçë is a city in southeastern Albania known as a cultural and educational center with rich Orthodox Christian heritage and historic architecture.
-
C.
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.
-
D.
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.
-
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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63f76b220819096e668534c6bac67 |
completed | April 20, 2026, 3 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08550f1aec819083536adc943e33c2 |
completed | May 16, 2026, 11:29 a.m. |
Created at: April 10, 2026, 1:42 p.m.