Triple
T1050042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rossmanith GmbH |
E22673
|
entity |
| Predicate | roleInTeamViewer |
P23591
|
FINISHED |
| Object | original founding firm |
—
|
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: original founding firm | Statement: [Rossmanith GmbH, roleInTeamViewer, original founding firm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInTeamViewer Context triple: [Rossmanith GmbH, roleInTeamViewer, original founding firm]
-
A.
typeOfRole
Indicates that one entity specifies the kind or category of role that another entity holds or performs.
-
B.
systemRole
Indicates the functional position or responsibility that an entity holds within a larger system or structure.
-
C.
testRole
Indicates that an entity is assigned or associated with a specific role used for testing or validation purposes.
-
D.
roleInvolves
Indicates that a particular role includes or requires participation in a specified activity, responsibility, or function.
-
E.
servesRole
Indicates that one entity performs, fulfills, or occupies a particular function, position, or responsibility in relation to another entity.
- 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_69a493da02e081908c13ff5e02a0fe7a |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8b2c6208190b6fdf3e93b1b1d04 |
completed | March 1, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69a4b7309cc481908ed839b0b8d75dbf |
completed | March 1, 2026, 10:01 p.m. |
| PDg | Predicate description generation | batch_69a4b7f2d1b081908eb2df54e91c8c1d |
completed | March 1, 2026, 10:04 p.m. |
Created at: March 1, 2026, 7:42 p.m.