Triple
T15925079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skenderaj |
E386186
|
entity |
| Predicate | historicalRegion |
P915
|
FINISHED |
| Object | Drenica |
E1193883
|
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: Drenica | Statement: [Skenderaj, historicalRegion, Drenica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Drenica Context triple: [Skenderaj, historicalRegion, Drenica]
-
A.
Drenica
chosen
Drenica is a region in central Kosovo known as a stronghold of Albanian resistance and a focal point of conflict during the Kosovo War.
-
B.
Morača
Morača is a major river in Montenegro that flows through the capital city of Podgorica before emptying into Lake Skadar.
-
C.
Peć
Peć is a historic town in western Kosovo renowned as the medieval spiritual seat of the Serbian Orthodox Church, centered around the Patriarchate of Peć monastery complex.
-
D.
Vrbas
Vrbas is a town and municipality in the Bačka region of northern Serbia, known as a local administrative, industrial, and transportation center.
-
E.
Vrbas
Vrbas is a river in western Bosnia and Herzegovina that flows through cities like Banja Luka before joining the Sava River.
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15685b28c8190927b704fef14a159 |
completed | April 16, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff291a4308190bd5b45dfdb3a6b98 |
completed | May 10, 2026, 2:50 a.m. |
Created at: April 10, 2026, 4:52 a.m.