Triple

T13776619
Position Surface form Disambiguated ID Type / Status
Subject Berane E331022 entity
Predicate isMunicipalSeatOf P15510 FINISHED
Object Berane Municipality E331022 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: Berane Municipality | Statement: [Berane, isMunicipalSeatOf, Berane Municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berane Municipality
Context triple: [Berane, isMunicipalSeatOf, Berane Municipality]
  • A. Berane chosen
    Berane is a town and municipality in northeastern Montenegro, situated in the Lim River valley and serving as a regional economic and cultural center.
  • B. Municipal Assembly of Berane
    The Municipal Assembly of Berane is the local legislative body responsible for making decisions and adopting regulations for the municipality of Berane in Montenegro.
  • C. Peja Municipality
    Peja Municipality is a local administrative unit in western Kosovo that encompasses the city of Peja and its surrounding settlements.
  • D. Sagarejo Municipality
    Sagarejo Municipality is an administrative district in eastern Georgia, known for its wine-producing regions and location within the Kakheti area.
  • E. Nikšić
    Nikšić is one of the largest cities in Montenegro, known as an important industrial, cultural, and educational center of the country.
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0238bdbc8190a946e6e5431632a5 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b07460c081908b3836a3ec382961 completed May 3, 2026, 8:30 p.m.
Created at: April 9, 2026, 10:10 p.m.