Triple
T13449607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peshkopi |
E320573
|
entity |
| Predicate | isCapitalOf |
P204
|
FINISHED |
| Object | Dibër County |
E678991
|
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: Dibër County | Statement: [Peshkopi, isCapitalOf, Dibër County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dibër County Context triple: [Peshkopi, isCapitalOf, Dibër County]
-
A.
Dibër County
chosen
Dibër County is an administrative region in northeastern Albania known for its mountainous terrain, rural communities, and proximity to the North Macedonian border.
-
B.
McKean County
McKean County is a largely rural county in north-central Pennsylvania known for its forests, outdoor recreation, and small industrial communities.
-
C.
Day County
Day County is a rural county in northeastern South Dakota known for its numerous lakes, outdoor recreation, and county seat of Webster.
-
D.
Marshall County
Marshall County is a county in northern Alabama known for its scenic location around Lake Guntersville and its mix of small towns and rural communities.
-
E.
Marshall County
Marshall County is a rural county in northwestern Minnesota known for its agricultural landscape and small communities.
- 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaef973b08190a3d7fe1c2a913cff |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd08698e0819084f3098d471e7dc9 |
completed | May 7, 2026, 5:48 p.m. |
Created at: April 9, 2026, 9:41 p.m.