Triple
T13449561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mavrovo National Park |
E320572
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object |
Rostuša
Rostuša is a mountain village in western North Macedonia, situated within the scenic and protected area of Mavrovo National Park.
|
E1067817
|
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: Rostuša | Statement: [Mavrovo National Park, hasVillage, Rostuša]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rostuša Context triple: [Mavrovo National Park, hasVillage, Rostuša]
-
A.
Ravanica
Ravanica is a river in central Serbia that flows through the region before joining the Velika Morava.
-
B.
Grbavica
Grbavica is a neighborhood in Sarajevo, Bosnia and Herzegovina, known for its residential blocks and its association with local football culture.
-
C.
Dudinka
Dudinka is a remote Arctic port town in northern Siberia, Russia, serving as a key shipping hub on the Yenisei River and gateway to the Norilsk industrial region.
-
D.
Oplenac
Oplenac is a historic hilltop complex in Serbia known for its royal mausoleum and the richly decorated St. George’s Church, associated with the Serbian Karađorđević dynasty.
-
E.
Brodnica
Brodnica is a historic town in north-central Poland known for its medieval architecture and location on the Drwęca River.
- 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: Rostuša Triple: [Mavrovo National Park, hasVillage, Rostuša]
Generated description
Rostuša is a mountain village in western North Macedonia, situated within the scenic and protected area of Mavrovo National Park.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rostuša Target entity description: Rostuša is a mountain village in western North Macedonia, situated within the scenic and protected area of Mavrovo National Park.
-
A.
Ravanica
Ravanica is a river in central Serbia that flows through the region before joining the Velika Morava.
-
B.
Grbavica
Grbavica is a neighborhood in Sarajevo, Bosnia and Herzegovina, known for its residential blocks and its association with local football culture.
-
C.
Dudinka
Dudinka is a remote Arctic port town in northern Siberia, Russia, serving as a key shipping hub on the Yenisei River and gateway to the Norilsk industrial region.
-
D.
Oplenac
Oplenac is a historic hilltop complex in Serbia known for its royal mausoleum and the richly decorated St. George’s Church, associated with the Serbian Karađorđević dynasty.
-
E.
Brodnica
Brodnica is a historic town in north-central Poland known for its medieval architecture and location on the Drwęca River.
- 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_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_69f7c6f78e088190a2d241042cfe615f |
completed | May 3, 2026, 10:06 p.m. |
| NEDg | Description generation | batch_69f7c868bdfc8190a13379363d01568d |
completed | May 3, 2026, 10:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7c976e96c8190b59f46d9b758e8e2 |
completed | May 3, 2026, 10:17 p.m. |
Created at: April 9, 2026, 9:41 p.m.