Triple

T8090981
Position Surface form Disambiguated ID Type / Status
Subject Mainz E188859 entity
Predicate hasHistoricalName P2834 FINISHED
Object Mogontiacum
Mogontiacum was the major Roman military and administrative settlement that later developed into the modern German city of Mainz.
E710590 NE FINISHED

How this triple was built (4 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: [Mainz, hasHistoricalName, Mogontiacum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mogontiacum
Context triple: [Mainz, hasHistoricalName, Mogontiacum]
  • A. 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.
  • B. Argentoratum
    Argentoratum is the ancient Roman military camp and settlement that later developed into the modern city of Strasbourg in northeastern France.
  • C. Aquincum
    Aquincum was an important ancient Roman military and civilian settlement located in what is now northern Budapest, Hungary.
  • D. Bracara Augusta
    Bracara Augusta was an important Roman city in the province of Gallaecia, which later evolved into the modern Portuguese city of Braga.
  • E. Hadrumetum
    Hadrumetum was an important ancient Phoenician and later Roman port city located on the coast of modern-day Tunisia.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mogontiacum
Triple: [Mainz, hasHistoricalName, Mogontiacum]
Generated description
Mogontiacum was the major Roman military and administrative settlement that later developed into the modern German city of Mainz.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mogontiacum
Target entity description: Mogontiacum was the major Roman military and administrative settlement that later developed into the modern German city of Mainz.
  • A. 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.
  • B. Argentoratum
    Argentoratum is the ancient Roman military camp and settlement that later developed into the modern city of Strasbourg in northeastern France.
  • C. Aquincum
    Aquincum was an important ancient Roman military and civilian settlement located in what is now northern Budapest, Hungary.
  • D. Bracara Augusta
    Bracara Augusta was an important Roman city in the province of Gallaecia, which later evolved into the modern Portuguese city of Braga.
  • E. Hadrumetum
    Hadrumetum was an important ancient Phoenician and later Roman port city located on the coast of modern-day Tunisia.
  • F. None of above. chosen

Provenance (5 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_69ca82b7b3e88190b9041ab0ef28b3cb completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb421fb8348190b6495394d498d3f4 completed March 31, 2026, 3:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc640dbab881908a8142ac472f3408 completed April 1, 2026, 12:17 a.m.
NEDg Description generation batch_69cc651e3b4c81908408c9f08eca8e09 completed April 1, 2026, 12:21 a.m.
NED2 Entity disambiguation (via description) batch_69cc69531a3c8190b712b3df6beefb7b completed April 1, 2026, 12:39 a.m.
Created at: March 30, 2026, 5:29 p.m.