Triple
T7108777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christian Wulff |
E165657
|
entity |
| Predicate | startTime (President of Germany) |
P74949
|
FINISHED |
| Object | 2010 |
—
|
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: 2010 | Statement: [Christian Wulff, startTime (President of Germany), 2010]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTime (President of Germany) Context triple: [Christian Wulff, startTime (President of Germany), 2010]
-
A.
startTime (President of Poland)
Indicates the point in time at which a person begins serving as President of Poland.
-
B.
startTime (European Commissioner)
Indicates the point in time at which a person begins serving as a European Commissioner.
-
C.
startTime (President of Portugal)
Indicates the point in time at which a person begins serving as President of Portugal.
-
D.
startTime (U.S. Secretary of State)
Indicates the point in time when an individual began serving as U.S. Secretary of State.
-
E.
startTime (Duke of Bavaria)
Indicates the point in time at which the person began holding the title or office of Duke of Bavaria.
- 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_69c6888120f081908f8f01b201dc4a4c |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e5bcf3e08190bd8c6cf896c416c4 |
completed | March 27, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c313e481908b61a23fc89f9332 |
completed | March 27, 2026, 8 p.m. |
| PDg | Predicate description generation | batch_69c6e4a15b088190bee9a23e94aaac53 |
completed | March 27, 2026, 8:12 p.m. |
Created at: March 27, 2026, 2:43 p.m.