Triple
T37767323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Annegret Kramp-Karrenbauer |
E941449
|
entity |
| Predicate | precededByAsCDULeader |
P196136
|
FINISHED |
| Object | Angela Merkel |
—
|
NE NERFINISHED |
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: Angela Merkel | Statement: [Annegret Kramp-Karrenbauer, precededByAsCDULeader, Angela Merkel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: precededByAsCDULeader Context triple: [Annegret Kramp-Karrenbauer, precededByAsCDULeader, Angela Merkel]
-
A.
precededBy (TX-17)
Indicates that one event, state, or entity occurs or exists earlier in time than another, coming directly before it in sequence.
-
B.
precededByInBand
Indicates that one element occurs earlier than another within the ordered sequence of items in the same band or grouping.
-
C.
precededBySegment
Indicates that one segment occurs immediately before another segment in a sequence or ordering.
-
D.
classPrecededBy
Indicates that one class occurs or is scheduled before another class in a sequence or timetable.
-
E.
precededBySpecial
Indicates that one event or entity occurs immediately before another in a context marked as special or exceptional compared to normal ordering.
- F. None of above. chosen
Provenance (4 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_69f76ee3251881909bb4451aad50752b |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fe08d2b2e48190ac7be6d62d4a44a3 |
completed | May 8, 2026, 4:01 p.m. |
| PD | Predicate disambiguation | batch_69fe06cd3af08190ae25de0dc0cdd573 |
completed | May 8, 2026, 3:52 p.m. |
| PDg | Predicate description generation | batch_69fe08d1b3f881908eccb74cb0d246dc |
completed | May 8, 2026, 4:01 p.m. |
Created at: May 3, 2026, 4:19 p.m.