Triple
T2238068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suebi |
E49327
|
entity |
| Predicate | describedInWork |
P519
|
FINISHED |
| Object | Germania |
E78932
|
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: Germania | Statement: [Suebi, describedInWork, Germania]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Germania Context triple: [Suebi, describedInWork, Germania]
-
A.
Germania
chosen
Germania was the ancient Roman term for the vast region of central Europe inhabited by various Germanic tribes beyond the empire’s northeastern frontiers.
-
B.
Prussia
Prussia was a historically powerful German state and kingdom that became a leading military and political force in Europe, ultimately playing a central role in the unification of Germany.
-
C.
German Empire
The German Empire was a unified German nation-state that existed from 1871 to 1918 under Prussian-dominated imperial rule, culminating in its defeat in World War I.
-
D.
Germany
Germany is a major Central European country known for its pivotal role in 20th-century history, its strong industrial economy, and its influential contributions to science, philosophy, music, and engineering.
-
E.
Bavaria
Bavaria is a historic region and federal state in southeastern Germany, known for its distinct cultural traditions, large size and population, and major cities such as Munich.
- 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_69a88aa84bdc819086df50e9c20b301e |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc096c7748190a545cc9b229bde62 |
completed | March 7, 2026, 6:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae7f007e988190bb032a39cfea7730 |
completed | March 9, 2026, 8:04 a.m. |
Created at: March 4, 2026, 7:47 p.m.