Triple

T3921139
Position Surface form Disambiguated ID Type / Status
Subject Lake Ohrid E88960 entity
Predicate hasShorelineSettlement P969 FINISHED
Object Struga
Struga is a town in southwestern North Macedonia known for its location on the shores of Lake Ohrid and its annual international poetry festival.
 E400598 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: Struga | Statement: [Lake Ohrid, hasShorelineSettlement, Struga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Struga
Context triple: [Lake Ohrid, hasShorelineSettlement, Struga]
  • A. Morača
    Morača is a major river in Montenegro that flows through the capital city of Podgorica before emptying into Lake Skadar.
  • B. Brda
    Brda is a river in northern Poland that flows through the Pomeranian region and is known for its scenic landscapes and popular kayaking routes.
  • C. Brda
    Brda is a picturesque wine-growing municipality in western Slovenia, renowned for its rolling hills, vineyards, and traditional villages near the Italian border.
  • D. Sagarejo
    Sagarejo is a town in eastern Georgia that serves as an important local center in the Kakheti wine-producing region.
  • E. Ravanica
    Ravanica is a river in central Serbia that flows through the region before joining the Velika Morava.
  • 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: Struga
Triple: [Lake Ohrid, hasShorelineSettlement, Struga]
Generated description
Struga is a town in southwestern North Macedonia known for its location on the shores of Lake Ohrid and its annual international poetry festival.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Struga
Target entity description: Struga is a town in southwestern North Macedonia known for its location on the shores of Lake Ohrid and its annual international poetry festival.
  • A. Morača
    Morača is a major river in Montenegro that flows through the capital city of Podgorica before emptying into Lake Skadar.
  • B. Brda
    Brda is a river in northern Poland that flows through the Pomeranian region and is known for its scenic landscapes and popular kayaking routes.
  • C. Brda
    Brda is a picturesque wine-growing municipality in western Slovenia, renowned for its rolling hills, vineyards, and traditional villages near the Italian border.
  • D. Sagarejo
    Sagarejo is a town in eastern Georgia that serves as an important local center in the Kakheti wine-producing region.
  • E. Ravanica
    Ravanica is a river in central Serbia that flows through the region before joining the Velika Morava.
  • 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_69aed955229881909e85e73ffab1d343 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeed5c28b08190b32ce81e5bd8f586 completed March 9, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5286c807481908a67471da777b264 completed March 14, 2026, 9:20 a.m.
NEDg Description generation batch_69b5298d7be08190adb4a23edb716ce6 completed March 14, 2026, 9:25 a.m.
NED2 Entity disambiguation (via description) batch_69b52de8756c81909d03188bdc29ee88 completed March 14, 2026, 9:44 a.m.
Created at: March 9, 2026, 3:22 p.m.