Triple

T2238093
Position Surface form Disambiguated ID Type / Status
Subject Suebi E49327 entity
Predicate influencedToponym P20713 FINISHED
Object Suebia E64457 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: Suebia | Statement: [Suebi, influencedToponym, Suebia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suebia
Context triple: [Suebi, influencedToponym, Suebia]
  • A. Germania
    Germania was the ancient Roman term for the vast region of central Europe inhabited by various Germanic tribes beyond the empire’s northeastern frontiers.
  • B. Swabia (Bavaria) chosen
    Swabia (Bavaria) is an administrative region in southwestern Bavaria, Germany, known for its distinct Swabian cultural heritage and mix of industrial cities and rural landscapes.
  • 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. Nursia
    Nursia is an ancient town in central Italy, historically significant as the birthplace of Saint Benedict and known today as Norcia.
  • E. Svealand
    Svealand is the central region of Sweden, historically significant as the country's core area and home to the capital city, Stockholm.
  • 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_69a88aa84bdc819086df50e9c20b301e completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc5b262488190b6455d1d28d2306d completed March 7, 2026, 6:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae8944c9e0819099aee546cfc1a636 completed March 9, 2026, 8:48 a.m.
Created at: March 4, 2026, 7:47 p.m.