Triple
T13454690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raška school |
E311198
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Raška |
E386940
|
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: Raška | Statement: [Raška school, region, Raška]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raška Context triple: [Raška school, region, Raška]
-
A.
Raška
chosen
Raška is a historical region in southwestern Serbia regarded as the medieval heartland of the early Serbian state and Orthodox monastic culture.
-
B.
Kraljevo
Kraljevo is a city in central Serbia known as a regional administrative and cultural center, situated near several important medieval Serbian monasteries.
-
C.
Niš
Niš is one of the largest and oldest cities in Serbia, known as a key cultural, economic, and transportation hub in the southern part of the country.
-
D.
Kragujevac
Kragujevac is a central Serbian city historically significant as an early capital and industrial and cultural hub of the country.
-
E.
Užice
Užice is a city in western Serbia known as a regional industrial and cultural center situated along the Đetinja River and surrounded by mountainous terrain.
- 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_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaefc52448190b30d7999f44a9765 |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda9009ce88190b77c8f02f38107e1 |
completed | May 8, 2026, 9:12 a.m. |
Created at: April 9, 2026, 9:41 p.m.