Triple
T8714261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Free Voters of Bavaria |
E206855
|
entity |
| Predicate | positionHeldByMember |
P28413
|
FINISHED |
| Object | Deputy Minister-President of Bavaria |
—
|
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: Deputy Minister-President of Bavaria | Statement: [Free Voters of Bavaria, positionHeldByMember, Deputy Minister-President of Bavaria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionHeldByMember Context triple: [Free Voters of Bavaria, positionHeldByMember, Deputy Minister-President of Bavaria]
-
A.
positionHeld
Indicates that an entity occupies or has occupied a specific role, job, office, or position within an organization or context.
-
B.
officeHeldByMember
chosen
Indicates that a specific office or position is held or occupied by a particular member.
-
C.
positionHeldInTheLegislativeBody
Indicates that an entity holds or has held a specific official role or seat within a legislative body.
-
D.
memberHoldsOffice
Indicates that a member occupies or serves in a specific official position or office within an organization or governing body.
-
E.
positionHeldInLegislature
Indicates that an entity holds or has held a specific official role or seat within a legislative body.
- 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_69ca83572d4881909bef3be2b578d539 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5cd6707c819092c9fca34f273d5e |
completed | March 31, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69cc456e806c819087e7d66ee737f242 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:35 p.m.