Triple

T13152620
Position Surface form Disambiguated ID Type / Status
Subject Gjirokastër County E312503 entity
Predicate capital P234 FINISHED
Object Gjirokastër E281087 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: Gjirokastër | Statement: [Gjirokastër County, capital, Gjirokastër]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gjirokastër
Context triple: [Gjirokastër County, capital, Gjirokastër]
  • A. Gjirokastër chosen
    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. Korçë
    Korçë is a city in southeastern Albania known as a cultural and educational center with rich Orthodox Christian heritage and historic architecture.
  • C. Lezhë
    Lezhë is a historic town in northwestern Albania, known as the site of the League of Lezhë and for its cultural and archaeological heritage.
  • D. 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.
  • E. Pogradec
    Pogradec is a town in southeastern Albania known as a lakeside resort and cultural center on the shores of Lake Ohrid.
  • 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98bd317e0819086e383f8e4583630 completed April 10, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eaeca00c8190aa5645d1084c7d60 completed May 3, 2026, 6:27 a.m.
Created at: April 9, 2026, 9:11 p.m.