Triple

T10497136
Position Surface form Disambiguated ID Type / Status
Subject Ovilava E247566 entity
Predicate locatedIn P40 FINISHED
Object 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: Noricum | Statement: [Ovilava, locatedIn, Noricum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Noricum
Context triple: [Ovilava, locatedIn, Noricum]
  • A. 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.
  • B. Raetia
    Raetia was a frontier province of the Roman Empire in the central Alps region, covering parts of modern Switzerland, Germany, Austria, and Italy.
  • C. Moesia Prima
    Moesia Prima was a late Roman province located in the central Balkans along the Danube frontier, in what is now mainly eastern Serbia.
  • D. Moesia Inferior
    Moesia Inferior was a Roman province located in the lower Danube region, roughly corresponding to parts of modern-day Bulgaria and Romania.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5098d8ac481909c4adedbc4ad1c03 completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69e343cd76448190b0583cc15005ac9d completed April 18, 2026, 8:41 a.m.
Created at: April 6, 2026, 12:24 p.m.