Triple
T32302006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | state governments of Germany |
E825261
|
entity |
| Predicate | exerciseThrough |
P106101
|
FINISHED |
| Object | state ministries |
—
|
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: state ministries | Statement: [state governments of Germany, exerciseThrough, state ministries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exerciseThrough Context triple: [state governments of Germany, exerciseThrough, state ministries]
-
A.
exerciseOf
chosen
Indicates the performance or carrying out of a right, power, function, or activity by an entity.
-
B.
exercisesWith
Indicates that two or more entities engage in physical exercise or workout activities together.
-
C.
exercise
Indicates that an entity engages in physical activity or training, typically to improve health, fitness, or performance.
-
D.
exerciseNature
Indicates that an entity engages in or is characterized by a particular type or manner of physical exercise or activity.
-
E.
coreExercise
Indicates that an exercise primarily targets and engages the muscles of the core or midsection.
- 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_69f349115304819084ee91d345b6c8aa |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bd7784908190a3e4da8c3fb84e5e |
completed | May 3, 2026, 3:13 a.m. |
| PD | Predicate disambiguation | batch_69f6b632cf788190a3d0c08cd026b84b |
completed | May 3, 2026, 2:42 a.m. |
Created at: May 1, 2026, 12:45 a.m.