Triple
T668829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State Secretary for Social Affairs and Employment |
E12926
|
entity |
| Predicate | isJuniorTo |
P12947
|
FINISHED |
| Object | full minister |
—
|
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: full minister | Statement: [State Secretary for Social Affairs and Employment, isJuniorTo, full minister]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isJuniorTo Context triple: [State Secretary for Social Affairs and Employment, isJuniorTo, full minister]
-
A.
hasLowerAge
Indicates that one entity is younger in age than another entity.
-
B.
isSeniorTo
chosen
Indicates that one entity holds a higher rank, status, or level of authority than another.
-
C.
isGradeWithin
Indicates that a given grade value falls within a specified acceptable or defined grade range.
-
D.
isMajor
Indicates that an entity holds primary or greater significance, importance, or rank relative to others in a given context.
-
E.
isGradeOf
Indicates that one entity is the grade or evaluation assigned to another entity, such as a student, assignment, or performance.
- 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_69a493355dec819098d4244b2fa34885 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49ffbe09881909b547a52a6b34c7f |
completed | March 1, 2026, 8:22 p.m. |
| PD | Predicate disambiguation | batch_69a49d18942c819083b3d1887e505900 |
completed | March 1, 2026, 8:10 p.m. |
Created at: March 1, 2026, 7:36 p.m.