Triple
T9707829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Friedrich Ebert |
E234943
|
entity |
| Predicate | officeStart (Chancellor of Germany) |
P90802
|
FINISHED |
| Object | 1918-11-09 |
—
|
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: 1918-11-09 | Statement: [Friedrich Ebert, officeStart (Chancellor of Germany), 1918-11-09]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeStart (Chancellor of Germany) Context triple: [Friedrich Ebert, officeStart (Chancellor of Germany), 1918-11-09]
-
A.
officeStart (Chairman of State Council)
Indicates the date or point in time when an individual began serving as Chairman of the State Council.
-
B.
startTime (President of Germany)
Indicates the point in time at which a person’s term as President of Germany begins.
-
C.
officeStartTime (Chancellor of the Exchequer)
Indicates the time at which the Chancellor of the Exchequer officially begins their term in office.
-
D.
servedAsHeadOfTheChancelleryFrom
Indicates that a person held the position of head of the chancellery starting from a specified date or time period.
-
E.
officeStartTime (President of the ECB)
Indicates the date and time at which a person begins their term in office as President of the European Central Bank.
- 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_69ca84cc78808190a56f3402b7c139a7 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9da5e09081909456909d768611e6 |
completed | April 1, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69cd03b641408190942464eaf174c6b5 |
completed | April 1, 2026, 11:38 a.m. |
| PDg | Predicate description generation | batch_69cd081a9c5c819093439be7e802ff85 |
completed | April 1, 2026, 11:57 a.m. |
Created at: March 30, 2026, 8:19 p.m.