Triple
T12812154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dietrich Stobbe |
E306297
|
entity |
| Predicate | officeEndTime (Governing Mayor of West Berlin) |
P106505
|
FINISHED |
| Object | 1981-01-23 |
—
|
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: 1981-01-23 | Statement: [Dietrich Stobbe, officeEndTime (Governing Mayor of West Berlin), 1981-01-23]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeEndTime (Governing Mayor of West Berlin) Context triple: [Dietrich Stobbe, officeEndTime (Governing Mayor of West Berlin), 1981-01-23]
-
A.
officeEnd (Chancellor of Germany)
Indicates the date or point in time when an individual's term as Chancellor of Germany comes to an end.
-
B.
endTime (President of Germany)
Indicates the date and time at which a person’s term as President of Germany concludes.
-
C.
officeEndTime (Governor of New York)
Indicates the time at which a person’s tenure as Governor of New York officially ends.
-
D.
endTime (Minister-President of Lower Saxony)
Indicates the point in time at which a person’s tenure as Minister-President of Lower Saxony concludes.
-
E.
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.
- 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_69d7bdf46c448190b1faa55aaacb6317 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e9adcf08190a12801adcc613477 |
completed | April 10, 2026, 9:41 p.m. |
| PD | Predicate disambiguation | batch_69d9640ed7448190b276e7fab649f7d2 |
completed | April 10, 2026, 8:56 p.m. |
| PDg | Predicate description generation | batch_69d96d88be0481908c311f1e71b61e70 |
completed | April 10, 2026, 9:37 p.m. |
Created at: April 9, 2026, 5:31 p.m.