Triple
T8313036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Germania Superior |
E194636
|
entity |
| Predicate | majorCity |
P316
|
FINISHED |
| Object | Argentoratum |
E67502
|
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: Argentoratum | Statement: [Germania Superior, majorCity, Argentoratum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Argentoratum Context triple: [Germania Superior, majorCity, Argentoratum]
-
A.
Argentoratum
chosen
Argentoratum is the ancient Roman military camp and settlement that later developed into the modern city of Strasbourg in northeastern France.
-
B.
Mogontiacum
Mogontiacum was the major Roman military and administrative settlement that later developed into the modern German city of Mainz.
-
C.
Aquincum
Aquincum was an important ancient Roman military and civilian settlement located in what is now northern Budapest, Hungary.
-
D.
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.
-
E.
Carnuntum
Carnuntum was a major Roman military camp and later a significant provincial capital and trading city on the Danube frontier in what is now eastern Austria.
- 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_69ca82e6e2648190a31eaf6f4f757b2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f5173c881909f2e84d53ea33a98 |
completed | March 31, 2026, 8:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cde77d43cc8190ad18e932d9230e5c |
completed | April 2, 2026, 3:50 a.m. |
Created at: March 30, 2026, 5:54 p.m.