Triple

T4960554
Position Surface form Disambiguated ID Type / Status
Subject Vlora E111395 entity
Predicate region P40 FINISHED
Object Vlorë County E309587 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: Vlorë County | Statement: [Vlora, region, Vlorë County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vlorë County
Context triple: [Vlora, region, Vlorë County]
  • A. Durrës County
    Durrës County is an administrative region in western Albania, known for encompassing the important port city of Durrës on the Adriatic Sea.
  • B. Gjirokastër County
    Gjirokastër County is a southern Albanian administrative region known for its historic stone city of Gjirokastër and its stretch of scenic Ionian coastline.
  • C. Tirana County
    Tirana County is an administrative region in central Albania that includes the nation’s capital city, Tirana, and serves as a major political, economic, and cultural hub.
  • D. Vlora County chosen
    Vlora County is a coastal region in southwestern Albania known for encompassing much of the scenic Albanian Riviera along the Ionian Sea.
  • E. Korçë County
    Korçë County is an administrative region in southeastern Albania known for its cultural heritage, historic Orthodox Christian presence, and the city of Korçë as its main urban center.
  • 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_69bd71da80008190a0d606d5091822b8 completed March 20, 2026, 4:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be81e7dba88190ab0f2d99a931cf0e completed March 21, 2026, 11:32 a.m.
Created at: March 20, 2026, 1:32 p.m.