Triple
T21927606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Franz Sigel |
E541480
|
entity |
| Predicate | emigratedBecauseOf |
P77259
|
FINISHED |
| Object | failure of the 1848 revolutions in Germany |
—
|
LITERAL 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: failure of the 1848 revolutions in Germany | Statement: [Franz Sigel, emigratedBecauseOf, failure of the 1848 revolutions in Germany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emigratedBecauseOf Context triple: [Franz Sigel, emigratedBecauseOf, failure of the 1848 revolutions in Germany]
-
A.
immigratedTo
Indicates that an entity moved from its country of origin to live permanently in another specified country or region.
-
B.
immigrationReason
chosen
Indicates the reason or motivation behind an entity’s act of immigrating from one place to another.
-
C.
hasSignificantEmigrationTo
Indicates that a substantial number of people leave one place, group, or entity to move and settle in another specific place, group, or entity.
-
D.
wasRefugee
Indicates that an entity previously lived as a refugee, having been forced to leave their home country due to conflict, persecution, or disaster.
-
E.
emigratedToState
Indicates that a person or group moved from their previous country or region to take up residence in a specified state.
- F. None of above.
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_69e0c47d74488190a15119108794a307 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f123fc188481909c74fd5f1bd52258 |
completed | April 28, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69e6f5efc208819091ed2cf6841fa600 |
completed | April 21, 2026, 3:58 a.m. |
Created at: April 16, 2026, 7:46 p.m.