Triple

T18054817
Position Surface form Disambiguated ID Type / Status
Subject Kozani Prefecture E432009 entity
Predicate hasTown P847 FINISHED
Object Servia 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: Servia | Statement: [Kozani Prefecture, hasTown, Servia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Servia
Context triple: [Kozani Prefecture, hasTown, Servia]
  • A. Servia chosen
    Servia is a town in northern Greece located in the Kozani regional unit of Western Macedonia.
  • B. Serbia
    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. Serbja
    Serbja are a West Slavic ethnic minority primarily living in eastern Germany, known for their distinct Sorbian language and culture.
  • D. 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.
  • E. 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.
  • 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_69d8b906482481908183315b9ecf9994 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4c101dfb081908dc66f4b4967d8c7 completed April 19, 2026, 11:48 a.m.
Created at: April 10, 2026, 10:26 a.m.