Triple

T22605565
Position Surface form Disambiguated ID Type / Status
Subject Taurision E566546 entity
Predicate region P40 FINISHED
Object Dardania 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: Dardania | Statement: [Taurision, region, Dardania]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dardania
Context triple: [Taurision, region, Dardania]
  • A. Dardania chosen
    Dardania was an ancient region in the central Balkans, roughly corresponding to parts of modern Kosovo and surrounding areas, known as a Roman and later Byzantine province.
  • B. Lazica
    Lazica was an ancient region on the eastern coast of the Black Sea, in what is now western Georgia, known historically as a Byzantine–Persian frontier kingdom.
  • C. Sarmato
    Sarmato is a small Italian municipality in the Emilia-Romagna region, known for its rural landscape and historic architecture.
  • D. Illyria
    Illyria is a powerful ancient demon god and later ally from the TV series "Angel," known for inhabiting the body of the character Fred Burkle.
  • E. Illyria
    Illyria was an ancient region on the western Balkan Peninsula, inhabited by Illyrian tribes and known for its strategic Adriatic coastline and interactions with Greek and Roman civilizations.
  • 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_69e245884860819081046ce07d5872c4 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f162709d808190af83837104a190f9 completed April 29, 2026, 1:44 a.m.
Created at: April 17, 2026, 2:53 p.m.