Triple

T23160766
Position Surface form Disambiguated ID Type / Status
Subject Suessiones E578574 entity
Predicate capital P234 FINISHED
Object Noviodunum NE NERFINISHED

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: Noviodunum | Statement: [Suessiones, capital, Noviodunum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Noviodunum
Context triple: [Suessiones, capital, Noviodunum]
  • A. Noviodunum chosen
    Noviodunum was an important Roman military and naval base on the lower Danube, in the province of Moesia (modern-day Romania).
  • B. Ratae Corieltauvorum
    Ratae Corieltauvorum was the Roman town and administrative center that later became the modern English city of Leicester.
  • C. Teanum Sidicinum
    Teanum Sidicinum was an important ancient city in Campania, Italy, serving as the chief urban center of the Sidicini people and later becoming a notable Roman municipality.
  • D. Mamucium
    Mamucium was a Roman fort and settlement that formed the early foundation of what is now the city of Manchester in northwest England.
  • E. Aeclanum
    Aeclanum was an ancient Samnite and later Roman town in southern Italy, notable as a strategic settlement along the Via Appia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245fc75348190a0288401044c8af8 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18f006930819097aafef87405d737 completed April 29, 2026, 4:54 a.m.
Created at: April 17, 2026, 4:02 p.m.