Triple
T7501443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KF Tirana |
E177269
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Tirana |
E33263
|
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: Tirana | Statement: [KF Tirana, location, Tirana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tirana Context triple: [KF Tirana, location, Tirana]
-
A.
Tirana
chosen
Tirana is the capital and largest city of Albania, serving as its political, economic, and cultural center in the Balkans.
-
B.
Pogradec
Pogradec is a town in southeastern Albania known as a lakeside resort and cultural center on the shores of Lake Ohrid.
-
C.
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.
-
D.
Durrës
Durrës is a major port city on the Adriatic coast of Albania, historically significant as a strategic maritime gateway and one of the country’s oldest urban centers.
-
E.
Pristina
Pristina is the capital and largest city of Kosovo, serving as its political, economic, and cultural center in the central Balkans.
- 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_69c69f2696688190915a8458f2398211 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f59aabb8819085bdbe9c793d5b8b |
completed | March 27, 2026, 9:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8e56e62d48190b0e25464ebffe148 |
completed | March 29, 2026, 8:40 a.m. |
Created at: March 27, 2026, 3:44 p.m.