Triple

T2133834
Position Surface form Disambiguated ID Type / Status
Subject Noricum E46603 entity
Predicate predecessor P97 FINISHED
Object Kingdom of Noricum E46603 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: Kingdom of Noricum | Statement: [Noricum, predecessor, Kingdom of Noricum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kingdom of Noricum
Context triple: [Noricum, predecessor, Kingdom of Noricum]
  • A. Raetia
    Raetia was a frontier province of the Roman Empire in the central Alps region, covering parts of modern Switzerland, Germany, Austria, and Italy.
  • B. Noricum chosen
    Noricum was an ancient Celtic kingdom and later a Roman province located in the eastern Alps, roughly corresponding to modern Austria and parts of Slovenia.
  • C. Moesia Inferior
    Moesia Inferior was a Roman province located in the lower Danube region, roughly corresponding to parts of modern-day Bulgaria and Romania.
  • D. Pannonia Secunda
    Pannonia Secunda was a late Roman province in the Balkans, centered on the important city of Sirmium and formed from the division of the larger province of Pannonia.
  • E. Moesia
    Moesia was an ancient Roman province located in the Balkans along the Danube River, encompassing parts of present-day Serbia and Bulgaria.
  • 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_69a88a174ab48190a5db20c132e5dccf completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abbba24004819091ffb9440e8615fa completed March 7, 2026, 5:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5d904cbc819088ba4086297eaf3d completed March 9, 2026, 5:41 a.m.
Created at: March 4, 2026, 7:44 p.m.