Triple

T909731
Position Surface form Disambiguated ID Type / Status
Subject Montenegro E19630 entity
Predicate hasCity P316 FINISHED
Object Budva
Budva is a historic coastal town on the Adriatic Sea, famous for its medieval old town, sandy beaches, and role as a major tourist destination in Montenegro.
 E142917 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: Budva | Statement: [Montenegro, hasCity, Budva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Budva
Context triple: [Montenegro, hasCity, Budva]
  • A. Herceg Novi
    Herceg Novi is a coastal town in western Montenegro known for its historic old town, fortresses, and scenic location at the entrance to the Bay of Kotor.
  • B. Podgorica
    Podgorica is the capital and largest city of Montenegro, serving as its political, economic, and cultural center in the Balkans.
  • C. Zadar
    Zadar is a historic coastal city in Croatia on the Adriatic Sea, known for its Roman and Venetian ruins, medieval churches, and modern seaside installations like the Sea Organ.
  • D. Korčula
    Korčula is a historic Adriatic island known for its medieval walled town, dense forests, and rich Croatian cultural heritage.
  • E. Rovinj
    Rovinj is a picturesque coastal town on Croatia’s Istrian peninsula, known for its colorful old town, fishing harbor, and popular seaside tourism.
  • 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: Budva
Triple: [Montenegro, hasCity, Budva]
Generated description
Budva is a historic coastal town on the Adriatic Sea, famous for its medieval old town, sandy beaches, and role as a major tourist destination in Montenegro.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Budva
Target entity description: Budva is a historic coastal town on the Adriatic Sea, famous for its medieval old town, sandy beaches, and role as a major tourist destination in Montenegro.
  • A. Herceg Novi
    Herceg Novi is a coastal town in western Montenegro known for its historic old town, fortresses, and scenic location at the entrance to the Bay of Kotor.
  • B. Podgorica
    Podgorica is the capital and largest city of Montenegro, serving as its political, economic, and cultural center in the Balkans.
  • C. Zadar
    Zadar is a historic coastal city in Croatia on the Adriatic Sea, known for its Roman and Venetian ruins, medieval churches, and modern seaside installations like the Sea Organ.
  • D. Korčula
    Korčula is a historic Adriatic island known for its medieval walled town, dense forests, and rich Croatian cultural heritage.
  • E. Rovinj
    Rovinj is a picturesque coastal town on Croatia’s Istrian peninsula, known for its colorful old town, fishing harbor, and popular seaside tourism.
  • 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_69a4939f91a08190ba68c2c81eab90fe completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b2dca5208190bc9f17cd9dd6a98f completed March 1, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac93a1fc5c819089ab10a6f0ed062b completed March 7, 2026, 9:07 p.m.
NEDg Description generation batch_69ac9407377c8190a8c94d907566f37a completed March 7, 2026, 9:09 p.m.
NED2 Entity disambiguation (via description) batch_69ac9455b87c8190ba6b60f1605d0108 completed March 7, 2026, 9:10 p.m.
Created at: March 1, 2026, 7:39 p.m.