Triple

T4775598
Position Surface form Disambiguated ID Type / Status
Subject Metropolitan of Korçë E106036 entity
Predicate hasSeatIn P3522 FINISHED
Object Korçë E490422 NE FINISHED

How this triple was built (2 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, hasSeatIn, Korçë]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Korçë
Context triple: [Metropolitan of Korçë, hasSeatIn, Korçë]
  • A. Korçë chosen
    Korçë is a city in southeastern Albania known as a cultural and educational center with rich Orthodox Christian heritage and historic architecture.
  • 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. 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.
  • D. Vlora
    Vlora is a major coastal city and seaport in southwestern Albania, strategically located on the Adriatic Sea.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd6585bf088190a7847241c8868bf6 completed March 20, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba49cac08190aa083ebeb52004eb completed March 21, 2026, 3:33 p.m.
Created at: March 20, 2026, 1:21 p.m.