Triple
T13569338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johannes Rau |
E324116
|
entity |
| Predicate | termStartAsPresidentOfGermany |
P74949
|
FINISHED |
| Object | 1999 |
—
|
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: 1999 | Statement: [Johannes Rau, termStartAsPresidentOfGermany, 1999]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termStartAsPresidentOfGermany Context triple: [Johannes Rau, termStartAsPresidentOfGermany, 1999]
-
A.
startTime (President of Germany)
chosen
Indicates the point in time at which a person’s term as President of Germany begins.
-
B.
endTime (President of Germany)
Indicates the date and time at which a person’s term as President of Germany concludes.
-
C.
reignAsKingOfGermanyStart
Indicates the time point or event at which an individual begins their reign as King of Germany.
-
D.
startTimeAsECPresident
Indicates the point in time at which an individual begins their term serving as President of the European Commission.
-
E.
startTimeOfOfficeForKarlDönitz
Indicates the specific date and time when Karl Dönitz began holding his office or official position.
- F. None of above.
Provenance (3 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_69d8076830b48190910a902bae5888e2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb00f5b8881908617f42d227ed137 |
completed | April 12, 2026, 2:45 p.m. |
| PD | Predicate disambiguation | batch_69dbae161a0481909f9d3f40ca4e0ac5 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:48 p.m.