Triple
T7078610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tosk region |
E164886
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Pogradec |
E400959
|
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: Pogradec | Statement: [Tosk region, hasCity, Pogradec]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pogradec Context triple: [Tosk region, hasCity, Pogradec]
-
A.
Pogradec
chosen
Pogradec is a town in southeastern Albania known as a lakeside resort and cultural center on the shores of Lake Ohrid.
-
B.
Monastir
Monastir, known today as Bitola in North Macedonia, is a historic Balkan city that played a significant strategic role during World War I.
-
C.
Monastir
Monastir is a coastal city in central-eastern Tunisia, known as a historic port and the birthplace and burial place of the country’s first president, Habib Bourguiba.
-
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.
Lezhë
Lezhë is a historic town in northwestern Albania, known as the site of the League of Lezhë and for its cultural and archaeological heritage.
- 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_69c6887cbc6c8190bdfac42d940f4d8a |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e4ef47d48190b31125d1b57f7bec |
completed | March 27, 2026, 8:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7b8cc838c8190b4da8f1ea13cbeb6 |
completed | March 28, 2026, 11:17 a.m. |
Created at: March 27, 2026, 2:40 p.m.