Triple

T3921116
Position Surface form Disambiguated ID Type / Status
Subject Lake Ohrid E88960 entity
Predicate locatedNear P294 FINISHED
Object city of Struga
The city of Struga is a lakeside town in southwestern North Macedonia known for its picturesque setting on the shores of Lake Ohrid and its historic bridges and poetry festival.
 E400596 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: city of Struga | Statement: [Lake Ohrid, locatedNear, city of Struga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: city of Struga
Context triple: [Lake Ohrid, locatedNear, city of Struga]
  • A. Gabrovo
    Gabrovo is a town in central Bulgaria known for its humor and satire traditions, as well as its historical role in the country’s industrial development.
  • B. Pliska
    Pliska was the first capital city of the early medieval First Bulgarian Empire, serving as its political and administrative center.
  • C. Smolyan
    Smolyan is a Bulgarian town known as an administrative, cultural, and tourist center in the Rhodope Mountains.
  • D. Silistra
    Silistra is a historic city in northeastern Bulgaria on the Danube River, known as an important cultural and economic center of the Dobruja region.
  • E. Blagoevgrad
    Blagoevgrad is a city in southwestern Bulgaria known as a regional cultural and educational center, home to several universities and a vibrant student population.
  • 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: city of Struga
Triple: [Lake Ohrid, locatedNear, city of Struga]
Generated description
The city of Struga is a lakeside town in southwestern North Macedonia known for its picturesque setting on the shores of Lake Ohrid and its historic bridges and poetry festival.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: city of Struga
Target entity description: The city of Struga is a lakeside town in southwestern North Macedonia known for its picturesque setting on the shores of Lake Ohrid and its historic bridges and poetry festival.
  • A. Gabrovo
    Gabrovo is a town in central Bulgaria known for its humor and satire traditions, as well as its historical role in the country’s industrial development.
  • B. Pliska
    Pliska was the first capital city of the early medieval First Bulgarian Empire, serving as its political and administrative center.
  • C. Smolyan
    Smolyan is a Bulgarian town known as an administrative, cultural, and tourist center in the Rhodope Mountains.
  • D. Silistra
    Silistra is a historic city in northeastern Bulgaria on the Danube River, known as an important cultural and economic center of the Dobruja region.
  • E. Blagoevgrad
    Blagoevgrad is a city in southwestern Bulgaria known as a regional cultural and educational center, home to several universities and a vibrant student population.
  • 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.