Triple

T1509607
Position Surface form Disambiguated ID Type / Status
Subject Pristina E33983 entity
Predicate locatedIn P40 FINISHED
Object Kosovo E43081 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: Kosovo | Statement: [Pristina, locatedIn, Kosovo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kosovo
Context triple: [Pristina, locatedIn, Kosovo]
  • A. Kosovo chosen
    Kosovo is a partially recognized Balkan state that declared independence from Serbia in 2008 and has a majority ethnic Albanian population.
  • B. Montenegro
    Montenegro is a small Balkan country on the Adriatic Sea, known for its mountainous landscapes, medieval villages, and status as a relatively new independent state in Southeastern Europe.
  • C. Bosnia and Herzegovina
    Bosnia and Herzegovina is a Balkan country in Southeastern Europe known for its complex post-Yugoslav history, diverse cultural and religious heritage, and capital city, Sarajevo.
  • D. Herzegovina
    Herzegovina is a mountainous historical region in the western Balkans that forms the southern part of Bosnia and Herzegovina, known for its diverse cultural heritage and Ottoman-era influences.
  • E. North Macedonia
    North Macedonia is a landlocked Balkan country in Southeast Europe known for its mountainous landscapes, rich cultural heritage, and recent integration into Euro-Atlantic institutions.
  • 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_69a885f352a4819099b24ff15489dede completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a8891e9da881909d0b12f1bc05863f completed March 4, 2026, 7:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69b367d99b548190981f471e167198da completed March 13, 2026, 1:26 a.m.
Created at: March 4, 2026, 7:24 p.m.