Triple

T4775565
Position Surface form Disambiguated ID Type / Status
Subject Metropolitan of Korçë E106036 entity
Predicate locatedIn P40 FINISHED
Object Korçë
Korçë is a city in southeastern Albania known as a cultural and educational center with rich Orthodox Christian heritage and historic architecture.
E490422 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: Korçë | Statement: [Metropolitan of Korçë, locatedIn, Korçë]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Korçë
Context triple: [Metropolitan of Korçë, locatedIn, Korçë]
  • A. 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.
  • B. Elbasan
    Elbasan is a city in central Albania known as an important industrial and transportation hub with historical roots dating back to the Ottoman era.
  • C. Vlora
    Vlora is a major coastal city and seaport in southwestern Albania, strategically located on the Adriatic Sea.
  • D. Peshkopi
    Peshkopi is a small town in northeastern Albania known as a regional center near the border with North Macedonia and the Korab mountain range.
  • E. Prizren
    Prizren is a historic and culturally rich city in southern Kosovo, known for its well-preserved Ottoman-era architecture and diverse religious heritage.
  • 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: Korçë
Triple: [Metropolitan of Korçë, locatedIn, Korçë]
Generated description
Korçë is a city in southeastern Albania known as a cultural and educational center with rich Orthodox Christian heritage and historic architecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Korçë
Target entity description: Korçë is a city in southeastern Albania known as a cultural and educational center with rich Orthodox Christian heritage and historic architecture.
  • A. 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.
  • B. Elbasan
    Elbasan is a city in central Albania known as an important industrial and transportation hub with historical roots dating back to the Ottoman era.
  • C. Vlora
    Vlora is a major coastal city and seaport in southwestern Albania, strategically located on the Adriatic Sea.
  • D. Peshkopi
    Peshkopi is a small town in northeastern Albania known as a regional center near the border with North Macedonia and the Korab mountain range.
  • E. Prizren
    Prizren is a historic and culturally rich city in southern Kosovo, known for its well-preserved Ottoman-era architecture and diverse religious heritage.
  • 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_69bd43f3074c8190937e7b0a457fe9f1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6584481081908f1041a8827e0b42 completed March 20, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69bea4623ae881908f5dac4eaa56f91d completed March 21, 2026, 2 p.m.
NEDg Description generation batch_69bea663e4b48190827a08f6eafe6e5e completed March 21, 2026, 2:08 p.m.
NED2 Entity disambiguation (via description) batch_69bea6ba4c28819097dbd5e463738240 completed March 21, 2026, 2:10 p.m.
Created at: March 20, 2026, 1:21 p.m.