Triple

T15684038
Position Surface form Disambiguated ID Type / Status
Subject Савиндан E380149 entity
Predicate географски контекст P3227 FINISHED
Object Србија E26132 NE FINISHED

How this triple was built (3 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: Србија | Statement: [Савиндан, географски контекст, Србија]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Србија
Context triple: [Савиндан, географски контекст, Србија]
  • A. Serbja
    Serbja are a West Slavic ethnic minority primarily living in eastern Germany, known for their distinct Sorbian language and culture.
  • B. Serbia chosen
    Serbia is a landlocked country in Southeast Europe, located in the central and western Balkans, known for its historical ties to Yugoslavia and its capital city, Belgrade.
  • C. Servia
    Servia is a town in northern Greece located in the Kozani regional unit of Western Macedonia.
  • D. Srbsko
    Srbsko is a small village in the Central Bohemian Region of the Czech Republic, known for its scenic location along the Berounka River and proximity to the Bohemian Karst nature reserve.
  • E. Serbia and Montenegro
    Serbia and Montenegro was a former state union in the Balkans, comprising the republics of Serbia and Montenegro, that existed from 2003 until Montenegro’s 2006 declaration of independence.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: географски контекст
Context triple: [Савиндан, географски контекст, Србија]
  • A. geographicContext chosen
    Indicates that one entity is situated within, associated with, or characterized by the geographic setting or region defined by another entity.
  • B. geographicalEffect
    Indicates how one geographical feature, condition, or event influences or alters another in terms of physical, environmental, or spatial characteristics.
  • C. geographicalMetaphor
    Indicates a figurative relationship where spatial or geographic terms are used metaphorically to describe non-spatial concepts or relationships.
  • D. geomorphologicalContext
    Indicates the geomorphological setting or landform context in which a feature, process, or observation occurs (e.g., valley, plateau, coastal dune).
  • E. geographicalPractice
    Indicates a relationship where an entity engages in or is associated with a practice, activity, or method that is specific to or characteristic of a particular geographic area or location.
  • F. None of above.

Provenance (4 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_69d86d99e860819094b6957cde470f2c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f31b5b881908e46ecd9fc6048ab completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff908dae948190bb6fb51e35aff5ac completed May 9, 2026, 7:52 p.m.
PD Predicate disambiguation batch_69deda8c856c8190882330114f9a1a5f completed April 15, 2026, 12:23 a.m.
Created at: April 10, 2026, 4:43 a.m.