Triple
T37945825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sebastian Kurz |
E946603
|
entity |
| Predicate | tookOfficeAsChancellorSecondTerm |
P29052
|
FINISHED |
| Object | 2020-01-07 |
—
|
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: 2020-01-07 | Statement: [Sebastian Kurz, tookOfficeAsChancellorSecondTerm, 2020-01-07]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tookOfficeAsChancellorSecondTerm Context triple: [Sebastian Kurz, tookOfficeAsChancellorSecondTerm, 2020-01-07]
-
A.
startTimeOfSecondTermAsPrimeMinister
chosen
Indicates the date and time when an individual’s second term serving as prime minister begins.
-
B.
reElectedAsPrimeMinister
Indicates that a person has been chosen again to serve in the role of prime minister after a previous term.
-
C.
precededInOfficeAsChancellorBy
Indicates that one individual assumed the role of Chancellor after another specific individual, who held the office immediately before them.
-
D.
formerChancellor
Indicates that one entity previously held the position or role of chancellor of the other entity, but no longer does.
-
E.
successorAsForeignMinister
Indicates that one person assumed the role of foreign minister directly after another person in an official succession.
- 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_69f76ef531ac8190ae6d99e5786e76ec |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc995dc2481908b3bd4217f8101e7 |
completed | May 6, 2026, 11:07 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ee04f08190977b7ad70fc85896 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:20 p.m.