Triple
T8227538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal Social Court of Germany |
E192208
|
entity |
| Predicate | hasNumberOfSenates |
P32457
|
FINISHED |
| Object | 14 |
—
|
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: 14 | Statement: [Federal Social Court of Germany, hasNumberOfSenates, 14]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfSenates Context triple: [Federal Social Court of Germany, hasNumberOfSenates, 14]
-
A.
numberOfSenates
chosen
Indicates the total count of senate bodies associated with or present in a given context or entity.
-
B.
numberOfSenators
Indicates the total count of senators associated with a given political body, region, or entity.
-
C.
numberOfSeatsInSenate
Indicates the total count of seats allocated in a given senate.
-
D.
numberOfIndependentSenators
Indicates the count of senators who are not formally affiliated with any political party.
-
E.
numberOfSenateDistricts
Indicates the total count of senate districts associated with a given entity or jurisdiction.
- 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_69ca82db5b90819085d1ad7c2e27bfcc |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb77fdcb048190868ea4995b020a37 |
completed | March 31, 2026, 7:30 a.m. |
| PD | Predicate disambiguation | batch_69cb36b1dea0819091418072501e79c1 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:46 p.m.