Triple

T10710596
Position Surface form Disambiguated ID Type / Status
Subject Severus Alexander E252523 entity
Predicate deathPlace P21 FINISHED
Object Mogontiacum E710590 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: Mogontiacum | Statement: [Severus Alexander, deathPlace, Mogontiacum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mogontiacum
Context triple: [Severus Alexander, deathPlace, Mogontiacum]
  • A. Mogontiacum chosen
    Mogontiacum was the major Roman military and administrative settlement that later developed into the modern German city of Mainz.
  • B. 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.
  • C. Argentoratum
    Argentoratum is the ancient Roman military camp and settlement that later developed into the modern city of Strasbourg in northeastern France.
  • D. Atuatuca Tungrorum
    Atuatuca Tungrorum was an important Roman-era city and military center in the province of Gallia Belgica, located at the site of modern-day Tongeren in Belgium.
  • E. Aquincum
    Aquincum was an important ancient Roman military and civilian settlement located in what is now northern Budapest, Hungary.
  • 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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fe523de08190a82c8f057fe8baf6 completed April 9, 2026, 1:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69d9990f220081909dae41bcec8b4768 completed April 11, 2026, 12:42 a.m.
Created at: April 8, 2026, 9:13 p.m.