Triple
T11757565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ATI Rage series |
E279563
|
entity |
| Predicate | includesVariant |
P455
|
FINISHED |
| Object | Rage Mobility 128 |
E943625
|
NE 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: Rage Mobility 128 | Statement: [ATI Rage series, includesVariant, Rage Mobility 128]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rage Mobility 128 Context triple: [ATI Rage series, includesVariant, Rage Mobility 128]
-
A.
Rage Mobility M
chosen
Rage Mobility M is a mobile graphics processor from ATI’s Rage family, designed for use in laptop and portable computer systems.
-
B.
MIA Mover
The MIA Mover is an automated people mover system that transports passengers between Miami International Airport and the nearby Miami Intermodal Center transportation hub.
-
C.
Movia
Movia is a modular, high-capacity metro train platform developed by Bombardier (now Alstom) and used in urban rail systems worldwide.
-
D.
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.
-
E.
Omnimover
Omnimover is a continuously moving ride system used in Disney theme park attractions to transport guests smoothly through elaborately themed environments.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a50c8d708190ad79ecb57b715d04 |
completed | April 10, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f090416334819084dc63d896c0c04a |
completed | April 28, 2026, 10:47 a.m. |
Created at: April 8, 2026, 9:41 p.m.