Triple

T14950965
Position Surface form Disambiguated ID Type / Status
Subject Bujar Nishani E372791 entity
Predicate birthPlace P1 FINISHED
Object Durrës E110160 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: Durrës | Statement: [Bujar Nishani, birthPlace, Durrës]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Durrës
Context triple: [Bujar Nishani, birthPlace, Durrës]
  • A. Durrës chosen
    Durrës is a major port city on the Adriatic coast of Albania, historically significant as a strategic maritime gateway and one of the country’s oldest urban centers.
  • B. Vlora
    Vlora is a major coastal city and seaport in southwestern Albania, strategically located on the Adriatic Sea.
  • C. Sarandë
    Sarandë is a coastal city in southern Albania on the Ionian Sea, known for its beaches, tourism, and proximity to the UNESCO World Heritage site of Butrint.
  • D. 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.
  • 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_69d85cca979481908747d2a81eba1cea completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded690f2e08190ad9dad6dc05a164a completed April 15, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe968f25e08190bfbf7a3541f79add completed May 9, 2026, 2:06 a.m.
Created at: April 10, 2026, 2:39 a.m.