Triple
T704398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georgia-Pacific |
E14067
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object |
enMotion
enMotion is a Georgia-Pacific brand best known for its touchless paper towel and restroom dispensing systems used in commercial and public facilities.
|
E85156
|
NE FINISHED |
How this triple was built (4 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: enMotion | Statement: [Georgia-Pacific, brand, enMotion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: enMotion Context triple: [Georgia-Pacific, brand, enMotion]
-
A.
iBOT mobility system
The iBOT mobility system is an advanced powered wheelchair that uses gyroscopic technology to climb stairs, elevate users to standing height, and navigate challenging terrain.
-
B.
Moto
Moto is a consumer electronics brand used by Motorola Mobility for its line of smartphones and related mobile devices.
-
C.
Segway PT
The Segway PT is a self-balancing, two-wheeled personal transporter that became widely known as an innovative but niche urban mobility device.
-
D.
NEVS
NEVS is a Swedish electric vehicle manufacturer that emerged from the acquisition of Saab Automobile’s assets, focusing on sustainable mobility solutions.
-
E.
Velo
Velo is a nicotine pouch brand owned by British American Tobacco, marketed as a smokeless alternative to traditional cigarettes.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: enMotion Triple: [Georgia-Pacific, brand, enMotion]
Generated description
enMotion is a Georgia-Pacific brand best known for its touchless paper towel and restroom dispensing systems used in commercial and public facilities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: enMotion Target entity description: enMotion is a Georgia-Pacific brand best known for its touchless paper towel and restroom dispensing systems used in commercial and public facilities.
-
A.
iBOT mobility system
The iBOT mobility system is an advanced powered wheelchair that uses gyroscopic technology to climb stairs, elevate users to standing height, and navigate challenging terrain.
-
B.
Moto
Moto is a consumer electronics brand used by Motorola Mobility for its line of smartphones and related mobile devices.
-
C.
Segway PT
The Segway PT is a self-balancing, two-wheeled personal transporter that became widely known as an innovative but niche urban mobility device.
-
D.
NEVS
NEVS is a Swedish electric vehicle manufacturer that emerged from the acquisition of Saab Automobile’s assets, focusing on sustainable mobility solutions.
-
E.
Velo
Velo is a nicotine pouch brand owned by British American Tobacco, marketed as a smokeless alternative to traditional cigarettes.
- F. None of above. chosen
Provenance (5 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_69a493494ec48190ae6751683625a9ba |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a533fa788190bba0f55655469c46 |
completed | March 1, 2026, 8:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5dcae2ef88190a9ea1604429f048a |
completed | March 2, 2026, 6:53 p.m. |
| NEDg | Description generation | batch_69a5df14e1788190bb2f2cc87cadcb40 |
completed | March 2, 2026, 7:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a5ff5dd4808190bb8ae25fbdca0075 |
completed | March 2, 2026, 9:21 p.m. |
Created at: March 1, 2026, 7:36 p.m.