Triple

T18492495
Position Surface form Disambiguated ID Type / Status
Subject Durrës Beach E451851 entity
Predicate partOf P40 FINISHED
Object Durrës Municipality NE NERFINISHED

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 Municipality | Statement: [Durrës Beach, partOf, Durrës Municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Durrës Municipality
Context triple: [Durrës Beach, partOf, Durrës Municipality]
  • A. Municipality of Durrës chosen
    The Municipality of Durrës is the local government authority responsible for administering the coastal Albanian city and surrounding area of Durrës.
  • B. Sarandë Municipality
    Sarandë Municipality is a local government unit in southern Albania centered on the coastal city and tourist hub of Saranda along the Ionian Sea.
  • C. Municipality of Tirana
    The Municipality of Tirana is the capital city and largest urban, political, and economic center of Albania.
  • D. Municipality of Lezhë
    The Municipality of Lezhë is a local government area in northwestern Albania centered around the historic city of Lezhë on the Adriatic coast.
  • E. Delvinë Municipality
    Delvinë Municipality is a local government unit in southern Albania known for its diverse population and location within the country’s coastal Vlora region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d3855d50819097fc8561b0299dd9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e532be5e988190aae93a66f6e5f857 completed April 19, 2026, 7:53 p.m.
Created at: April 10, 2026, 11:35 a.m.