Triple

T6073869
Position Surface form Disambiguated ID Type / Status
Subject Tauresium E135349 entity
Predicate region P40 FINISHED
Object Dardania E132933 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: Dardania | Statement: [Tauresium, region, Dardania]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dardania
Context triple: [Tauresium, 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. Dacus
    Dacus is the surname of American indie rock singer-songwriter Lucy Dacus.
  • D. Moesia
    Moesia was an ancient Roman province located in the Balkans along the Danube River, encompassing parts of present-day Serbia and Bulgaria.
  • E. Bastarnae
    The Bastarnae were an ancient tribal group of mixed Celtic and Germanic (and possibly Sarmatian) origin that inhabited regions north of the Danube and frequently clashed with the Roman Empire.
  • 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_69c00879e8048190b690717d19c5bc03 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0575b9bc08190a78b3082b9ccf00c completed March 22, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c125274e1c8190b452fdeeb788a6f2 completed March 23, 2026, 11:33 a.m.
Created at: March 22, 2026, 4:11 p.m.