Triple
T9729955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marek Belka |
E235712
|
entity |
| Predicate | presidentOfCentralBankEnd |
P90702
|
FINISHED |
| Object | 2016-06-20 |
—
|
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: 2016-06-20 | Statement: [Marek Belka, presidentOfCentralBankEnd, 2016-06-20]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: presidentOfCentralBankEnd Context triple: [Marek Belka, presidentOfCentralBankEnd, 2016-06-20]
-
A.
previousMonetaryAuthority
Indicates that one entity served as the monetary authority immediately before another entity in a temporal sequence.
-
B.
termAsNBPAPresidentEndYear
Indicates the year in which an individual's term serving as NBPAPresident comes to an end.
-
C.
officeEndTime (President of the ECB)
Indicates the time at which a person's term in office as President of the ECB comes to an end.
-
D.
centralBank
Indicates that an entity functions as the primary monetary authority responsible for issuing currency and implementing monetary policy for a specific jurisdiction.
-
E.
lastChancellor
Indicates that one entity served as the most recent chancellor of another entity (such as a country, institution, or organization).
- 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_69ca84d0fad481909cdd45aa77416c48 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9eb0ff488190ac32ed304a3cd3bc |
completed | April 1, 2026, 10:39 p.m. |
| PD | Predicate disambiguation | batch_69cd03c6ffc88190a5e9569e19122ad5 |
completed | April 1, 2026, 11:38 a.m. |
| PDg | Predicate description generation | batch_69cd07c5c978819084abc7267a5ced80 |
completed | April 1, 2026, 11:55 a.m. |
Created at: March 30, 2026, 8:21 p.m.