Triple

T3921140
Position Surface form Disambiguated ID Type / Status
Subject Lake Ohrid E88960 entity
Predicate hasShorelineSettlement P969 FINISHED
Object Pogradec
Pogradec is a town in southeastern Albania known as a lakeside resort and cultural center on the shores of Lake Ohrid.
 E400959 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: Pogradec | Statement: [Lake Ohrid, hasShorelineSettlement, Pogradec]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pogradec
Context triple: [Lake Ohrid, hasShorelineSettlement, Pogradec]
  • A. Monastir
    Monastir, known today as Bitola in North Macedonia, is a historic Balkan city that played a significant strategic role during World War I.
  • B. Gjirokastër
    Gjirokastër is a historic stone-built city in southern Albania, recognized as a UNESCO World Heritage Site for its well-preserved Ottoman-era architecture.
  • C. Prizren
    Prizren is a historic and culturally rich city in southern Kosovo, known for its well-preserved Ottoman-era architecture and diverse religious heritage.
  • D. Tirana
    Tirana is the capital and largest city of Albania, serving as its political, economic, and cultural center in the Balkans.
  • E. Saranda
    Saranda is a coastal city in southern Albania on the Ionian Sea, known for its strategic harbor and role in regional military and maritime history.
  • 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: Pogradec
Triple: [Lake Ohrid, hasShorelineSettlement, Pogradec]
Generated description
Pogradec is a town in southeastern Albania known as a lakeside resort and cultural center on the shores of Lake Ohrid.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pogradec
Target entity description: Pogradec is a town in southeastern Albania known as a lakeside resort and cultural center on the shores of Lake Ohrid.
  • A. Monastir
    Monastir, known today as Bitola in North Macedonia, is a historic Balkan city that played a significant strategic role during World War I.
  • B. Gjirokastër
    Gjirokastër is a historic stone-built city in southern Albania, recognized as a UNESCO World Heritage Site for its well-preserved Ottoman-era architecture.
  • C. Prizren
    Prizren is a historic and culturally rich city in southern Kosovo, known for its well-preserved Ottoman-era architecture and diverse religious heritage.
  • D. Tirana
    Tirana is the capital and largest city of Albania, serving as its political, economic, and cultural center in the Balkans.
  • E. Saranda
    Saranda is a coastal city in southern Albania on the Ionian Sea, known for its strategic harbor and role in regional military and maritime history.
  • 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_69b53384bca08190af13ac3a417d8827 completed March 14, 2026, 10:08 a.m.
NEDg Description generation batch_69b53404294881908a91dced77133b57 completed March 14, 2026, 10:10 a.m.
NED2 Entity disambiguation (via description) batch_69b53482a40c8190bd62b0bc8df92c0c completed March 14, 2026, 10:12 a.m.
Created at: March 9, 2026, 3:22 p.m.