Triple

T4550911
Position Surface form Disambiguated ID Type / Status
Subject Durrës E110160 entity
Predicate partOf P40 FINISHED
Object Durrës County E451845 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 County | Statement: [Durrës, partOf, Durrës County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Durrës County
Context triple: [Durrës, partOf, Durrës County]
  • A. Durrës County chosen
    Durrës County is an administrative region in western Albania, known for encompassing the important port city of Durrës on the Adriatic Sea.
  • B. Vlora County
    Vlora County is a coastal region in southwestern Albania known for encompassing much of the scenic Albanian Riviera along the Ionian Sea.
  • C. 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.
  • D. 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.
  • E. Municipality of Durrës
    The Municipality of Durrës is the local government authority responsible for administering the coastal Albanian city and surrounding area of Durrës.
  • 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_69bd4412524c8190be5bcc9ddee91848 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd57f5a0a081909977ccbb8aba633c completed March 20, 2026, 2:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdc56c0ce08190beb9d4f468b988f7 completed March 20, 2026, 10:08 p.m.
Created at: March 20, 2026, 1:05 p.m.