Triple
T2608798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vice Chancellor of Germany |
E58724
|
entity |
| Predicate | requiresOffice |
P41230
|
FINISHED |
| Object | must be a Federal Minister |
—
|
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: must be a Federal Minister | Statement: [Vice Chancellor of Germany, requiresOffice, must be a Federal Minister]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiresOffice Context triple: [Vice Chancellor of Germany, requiresOffice, must be a Federal Minister]
-
A.
supportsOffice
Indicates that one entity provides assistance, resources, or endorsement to an office or officeholder in performing its functions or maintaining its operations.
-
B.
recognizedAsOfficeSince
Indicates that an entity has been officially designated or acknowledged as an office starting from a specific point in time.
-
C.
defaultOfficeSuite
Indicates that a particular office software suite is set as the primary or standard choice to be used by default.
-
D.
officeMergedInto
Indicates that one office has been combined with and absorbed into another office, ceasing to exist as a separate entity.
-
E.
word
Indicates that one entity is a word (a lexical item) in relation to another entity, such as a language, text, or representation.
- 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_69ab4ac3523881909679750c9f8c2dec |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd8def9bc8190b2e013abffc7b191 |
completed | March 7, 2026, 7:50 a.m. |
| PD | Predicate disambiguation | batch_69abd80ab7248190ba06ba14fe4c5638 |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd8dd05c48190b4f90031642c4091 |
completed | March 7, 2026, 7:50 a.m. |
Created at: March 6, 2026, 9:49 p.m.