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.