Triple
T29006729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adalbert von Kleist |
E736455
|
entity |
| Predicate | areaOfInvention |
P16245
|
FINISHED |
| Object | electrical devices |
—
|
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: electrical devices | Statement: [Adalbert von Kleist, areaOfInvention, electrical devices]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areaOfInvention Context triple: [Adalbert von Kleist, areaOfInvention, electrical devices]
-
A.
innovationArea
chosen
Indicates the thematic or domain-specific field in which an innovation is focused or applied.
-
B.
inventionType
Indicates the specific category or kind of invention that characterizes the relationship between an invention and its type.
-
C.
usedInventionOf
Indicates that one entity made use of, applied, or implemented the invention created by another entity.
-
D.
invention
Indicates that one entity is the creator or originator of another entity, typically a device, method, or idea.
-
E.
specificationArea
Indicates that something pertains to, falls within, or is defined for a particular area or domain of specification.
- 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_69f077eb81e88190ad9ff62cbb9f555e |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f6691f5e188190b12c7b2eb729a45e |
completed | May 2, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69f6659b62fc8190b21555d0ba54db2d |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 9:38 a.m.