Triple

T1901229
Position Surface form Disambiguated ID Type / Status
Subject Moesia E37692 entity
Predicate borderedBy P224 FINISHED
Object Pannonia E46213 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: Pannonia | Statement: [Moesia, borderedBy, Pannonia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pannonia
Context triple: [Moesia, borderedBy, Pannonia]
  • A. Pannonia chosen
    Pannonia was an ancient Roman province in Central Europe, roughly corresponding to parts of modern Hungary and neighboring countries, that served as a key frontier region of the empire.
  • B. 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.
  • C. Moesia
    Moesia was an ancient Roman province located in the Balkans along the Danube River, encompassing parts of present-day Serbia and Bulgaria.
  • D. Raetia
    Raetia was a frontier province of the Roman Empire in the central Alps region, covering parts of modern Switzerland, Germany, Austria, and Italy.
  • E. Noricum
    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.
  • 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_69a8861be7148190a680937ec451a304 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb18da27c8190b315b462c857f4c2 completed March 7, 2026, 5:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae030e55f88190a9996d785066ea20 completed March 8, 2026, 11:15 p.m.
Created at: March 4, 2026, 7:35 p.m.