Triple

T9143568
Position Surface form Disambiguated ID Type / Status
Subject Postumus E219390 entity
Predicate diedIn 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: [Postumus, diedIn, Mogontiacum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mogontiacum
Context triple: [Postumus, diedIn, 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. Aquincum
    Aquincum was an important ancient Roman military and civilian settlement located in what is now northern Budapest, Hungary.
  • E. Bracara Augusta
    Bracara Augusta was an important Roman city in the province of Gallaecia, which later evolved into the modern Portuguese city of Braga.
  • 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_69ca83e121dc81909912bd66953081c5 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca91548248190ae0b63edebf3d674 completed April 1, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d048186cc88190be4f515c16c20450 completed April 3, 2026, 11:07 p.m.
Created at: March 30, 2026, 7:19 p.m.