Triple

T2929792
Position Surface form Disambiguated ID Type / Status
Subject Germania E78932 entity
Predicate hasSubregion P285 FINISHED
Object Germania Magna E78932 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: Germania Magna | Statement: [Germania, hasSubregion, Germania Magna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Germania Magna
Context triple: [Germania, hasSubregion, Germania Magna]
  • A. Teutônia
    Teutônia is a municipality in the Brazilian state of Rio Grande do Sul known for its strong German-Brazilian cultural heritage and traditions.
  • B. Germanicia
    Germanicia was an ancient city in Roman Syria, notable as the birthplace of the 5th-century Christian theologian Nestorius.
  • C. Germania Superior
    Germania Superior was a Roman imperial province along the upper Rhine frontier, encompassing parts of what are now southwestern Germany, eastern France, and northern Switzerland.
  • D. Germania chosen
    Germania was the ancient Roman term for the vast region of central Europe inhabited by various Germanic tribes beyond the empire’s northeastern frontiers.
  • E. Germania Inferior
    Germania Inferior was a Roman imperial province along the lower Rhine frontier, encompassing parts of what are now the Netherlands, Belgium, and western Germany.
  • 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_69ad8b0d40b481908bc2a5fa2e73c3fb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad98002da4819098d6448eebcafad4 completed March 8, 2026, 3:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b12e181898819087ed4acfd24c00a1 completed March 11, 2026, 8:55 a.m.
Created at: March 8, 2026, 2:55 p.m.