Triple
T21005596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keller und Knappich Augsburg |
E517405
|
entity |
| Predicate | historicalNameOf |
P65
|
FINISHED |
| Object | KUKA |
—
|
NE NERFINISHED |
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: KUKA | Statement: [Keller und Knappich Augsburg, historicalNameOf, KUKA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KUKA Context triple: [Keller und Knappich Augsburg, historicalNameOf, KUKA]
-
A.
KUKA
chosen
KUKA is a German industrial robotics and automation company known for its advanced robotic arms used in manufacturing and entertainment applications.
-
B.
ABB Robotics
ABB Robotics is a leading global provider of industrial robots and automation solutions used across manufacturing, logistics, and other industries.
-
C.
Festo SE & Co. KG
Festo SE & Co. KG is a German multinational company specializing in automation technology and industrial control solutions, particularly pneumatic and electric drive systems.
-
D.
Kinetix
Kinetix is Rockwell Automation’s line of motion control products and servo drives used for precise, integrated industrial automation.
-
E.
Ibaraki Robots
Ibaraki Robots is a professional Japanese basketball team based in Ibaraki Prefecture that competes in the B.League.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b50192308190a284fcc89dd23a49 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc3b25ec8190aa4530d1f0bb2b9e |
completed | April 21, 2026, 4:25 a.m. |
Created at: April 16, 2026, 1:52 p.m.