Triple
T3693910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Studenica Monastery |
E78407
|
entity |
| Predicate | locatedInHistoricalRegion |
P915
|
FINISHED |
| Object |
Raška
Raška is a historical region in southwestern Serbia regarded as the medieval heartland of the early Serbian state and Orthodox monastic culture.
|
E386940
|
NE FINISHED |
How this triple was built (4 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: [Studenica Monastery, locatedInHistoricalRegion, Raška]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raška Context triple: [Studenica Monastery, locatedInHistoricalRegion, Raška]
-
A.
Kraljevo
Kraljevo is a city in central Serbia known as a regional administrative and cultural center, situated near several important medieval Serbian monasteries.
-
B.
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.
-
C.
Kragujevac
Kragujevac is a central Serbian city historically significant as an early capital and industrial and cultural hub of the country.
-
D.
Smederevo
Smederevo is a historic Serbian city on the Danube River, known for its large medieval fortress and role as a former capital of the Serbian Despotate.
-
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. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Raška Triple: [Studenica Monastery, locatedInHistoricalRegion, Raška]
Generated description
Raška is a historical region in southwestern Serbia regarded as the medieval heartland of the early Serbian state and Orthodox monastic culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Raška Target entity description: Raška is a historical region in southwestern Serbia regarded as the medieval heartland of the early Serbian state and Orthodox monastic culture.
-
A.
Kraljevo
Kraljevo is a city in central Serbia known as a regional administrative and cultural center, situated near several important medieval Serbian monasteries.
-
B.
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.
-
C.
Kragujevac
Kragujevac is a central Serbian city historically significant as an early capital and industrial and cultural hub of the country.
-
D.
Smederevo
Smederevo is a historic Serbian city on the Danube River, known for its large medieval fortress and role as a former capital of the Serbian Despotate.
-
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. chosen
Provenance (5 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_69ad85e3b1888190abc983e06968696d |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc4e9e4748190aa178692ef27e3a6 |
completed | March 8, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4e4e5906481909c0d0989dde7743f |
completed | March 14, 2026, 4:32 a.m. |
| NEDg | Description generation | batch_69b4e62d284881908531b93645649f45 |
completed | March 14, 2026, 4:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4ea2b19e48190864d2114603865ed |
completed | March 14, 2026, 4:55 a.m. |
Created at: March 8, 2026, 3:26 p.m.