Triple
T4647132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal Minister with portfolio |
E102198
|
entity |
| Predicate | mustObserve |
P37635
|
FINISHED |
| Object | chancellor principle (Kanzlerprinzip) |
—
|
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: chancellor principle (Kanzlerprinzip) | Statement: [Federal Minister with portfolio, mustObserve, chancellor principle (Kanzlerprinzip)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mustObserve Context triple: [Federal Minister with portfolio, mustObserve, chancellor principle (Kanzlerprinzip)]
-
A.
observanceRequires
Indicates that carrying out a particular observance or practice is contingent upon, or must be accompanied by, the fulfillment of a specified requirement or condition.
-
B.
observedFor
Indicates that one entity is monitored, watched, or examined over a period of time for the benefit or analysis of another entity.
-
C.
mustMeet
Indicates that one entity is required or obligated to have a meeting or encounter with another entity.
-
D.
mustRespect
chosen
Indicates that one entity is obligated to show respect or deference toward another entity.
-
E.
mustActIn
Indicates that an entity is required or obligated to perform an action within a specified context, domain, or timeframe.
- 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_69bd43d71a308190afea7280841b0de8 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd6632708c8190b627d99363ab062c |
completed | March 20, 2026, 3:22 p.m. |
| PD | Predicate disambiguation | batch_69bd620fc5e081908325ac8e6a6384ab |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:14 p.m.