Triple
T8619555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nišava River |
E204128
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | City of Niš |
E230334
|
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: City of Niš | Statement: [Nišava River, flowsThrough, City of Niš]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City of Niš Context triple: [Nišava River, flowsThrough, City of Niš]
-
A.
City of Niš
chosen
The City of Niš is a major urban center in southeastern Serbia, historically significant as one of the oldest cities in the Balkans and a key crossroads between Central Europe and the Near East.
-
B.
Jagodina
Jagodina is a city in central Serbia known as a regional industrial and cultural center, featuring attractions such as a popular zoo, aqua park, and museums.
-
C.
Bajina Bašta
Bajina Bašta is a small town in western Serbia known for its scenic location on the Drina River and proximity to the Tara National Park.
-
D.
Kragujevac
Kragujevac is a central Serbian city historically significant as an early capital and industrial and cultural hub of the country.
-
E.
Nikšić
Nikšić is one of the largest cities in Montenegro, known as an important industrial, cultural, and educational center of the country.
- 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_69ca832ceab8819096e4a9f546695079 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc471458f48190a6d8858f8074727d |
completed | March 31, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfab3422008190a42e579a494fa841 |
completed | April 3, 2026, 11:57 a.m. |
Created at: March 30, 2026, 6:26 p.m.