Triple
T7303454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Korab |
E167914
|
entity |
| Predicate | nearestTown |
P350
|
FINISHED |
| Object | Peshkopi |
E320573
|
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: Peshkopi | Statement: [Korab, nearestTown, Peshkopi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peshkopi Context triple: [Korab, nearestTown, Peshkopi]
-
A.
Peshkopi
chosen
Peshkopi is a small town in northeastern Albania known as a regional center near the border with North Macedonia and the Korab mountain range.
-
B.
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.
-
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.
Lushnjë
Lushnjë is a city in central Albania known for its agricultural importance and role in the country’s political history.
-
E.
Kavajë
Kavajë is a city in western Albania known for its historical role in the country’s independence movement and its proximity to the Adriatic coast.
- 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_69c6888c820881909fc68f689fe1c251 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6ebb2261c8190ae9095c8e110b528 |
completed | March 27, 2026, 8:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7e55bfccc8190a46067c60c3c1a3f |
completed | March 28, 2026, 2:27 p.m. |
Created at: March 27, 2026, 3:01 p.m.