Triple

T10345395
Position Surface form Disambiguated ID Type / Status
Subject Pannonia Superior E243731 entity
Predicate majorSettlement P316 FINISHED
Object Vindobona E7023 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: Vindobona | Statement: [Pannonia Superior, majorSettlement, Vindobona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vindobona
Context triple: [Pannonia Superior, majorSettlement, Vindobona]
  • A. Budavár
    Budavár is the historic Buda Castle quarter of Budapest, known for its medieval streets, royal palace complex, and panoramic views over the Danube.
  • B. Bratislava
    Bratislava is the capital and largest city of Slovakia, situated along the Danube River near the borders with Austria and Hungary.
  • C. Vienna
    Vienna is a suburban town in Fairfax County, Virginia, known for its residential neighborhoods, proximity to Washington, D.C., and access to the Washington Metro via the nearby Vienna/Fairfax–GMU station.
  • D. Vienna
    Vienna is a small town in Dane County, Wisconsin, known for its rural character and proximity to the Madison metropolitan area.
  • E. Vienna chosen
    Vienna is the capital city of Austria, renowned for its rich imperial history, classical music heritage, and vibrant cultural and intellectual life.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e923e3d08190971073ce41ff860f completed April 7, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7507f708c8190b8cf684704a6e47d completed April 9, 2026, 7:08 a.m.
Created at: April 6, 2026, 11:56 a.m.