Triple

T4964964
Position Surface form Disambiguated ID Type / Status
Subject Metropolitan of Elbasan E111500 entity
Predicate hasSeatIn P3522 FINISHED
Object Elbasan E469975 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: Elbasan | Statement: [Metropolitan of Elbasan, hasSeatIn, Elbasan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elbasan
Context triple: [Metropolitan of Elbasan, hasSeatIn, Elbasan]
  • A. Elbasan chosen
    Elbasan is a city in central Albania known as an important industrial and transportation hub with historical roots dating back to the Ottoman era.
  • 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. Korçë
    Korçë is a city in southeastern Albania known as a cultural and educational center with rich Orthodox Christian heritage and historic architecture.
  • D. Pogradec
    Pogradec is a town in southeastern Albania known as a lakeside resort and cultural center on the shores of Lake Ohrid.
  • 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_69bd4419393c819086319a6fe4bf8542 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd71f693b48190b3523cd314303cbe completed March 20, 2026, 4:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed90711188190942aefd5da31496d completed March 21, 2026, 5:44 p.m.
Created at: March 20, 2026, 1:32 p.m.