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.