Triple
T14389465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RISC OS |
E356803
|
entity |
| Predicate | targetHardware |
P5090
|
FINISHED |
| Object |
Pandaboard
Pandaboard is a low-power, ARM-based single-board computer designed for development and experimentation with operating systems and embedded applications.
|
E1099030
|
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: Pandaboard | Statement: [RISC OS, targetHardware, Pandaboard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pandaboard Context triple: [RISC OS, targetHardware, Pandaboard]
-
A.
BeagleBoard
BeagleBoard is a low-power, open-hardware single-board computer designed for embedded systems, prototyping, and educational use.
-
B.
BeagleBone Black
BeagleBone Black is a low-cost, community-supported single-board computer based on an ARM Cortex-A8 processor, commonly used for embedded systems, robotics, and hardware prototyping.
-
C.
Nvidia Tegra K1
The Nvidia Tegra K1 is a mobile system-on-chip that introduced desktop-class Kepler GPU architecture to smartphones and tablets, significantly boosting their graphics and compute performance.
-
D.
Nvidia Tegra 4
Nvidia Tegra 4 is a mobile system-on-chip by Nvidia that significantly improved performance and power efficiency for smartphones and tablets over its predecessor.
-
E.
Raspberry Pi
Raspberry Pi is a low-cost, credit card–sized single-board computer widely used for education, DIY electronics projects, and lightweight computing tasks.
- 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: Pandaboard Triple: [RISC OS, targetHardware, Pandaboard]
Generated description
Pandaboard is a low-power, ARM-based single-board computer designed for development and experimentation with operating systems and embedded applications.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pandaboard Target entity description: Pandaboard is a low-power, ARM-based single-board computer designed for development and experimentation with operating systems and embedded applications.
-
A.
BeagleBoard
BeagleBoard is a low-power, open-hardware single-board computer designed for embedded systems, prototyping, and educational use.
-
B.
BeagleBone Black
BeagleBone Black is a low-cost, community-supported single-board computer based on an ARM Cortex-A8 processor, commonly used for embedded systems, robotics, and hardware prototyping.
-
C.
Nvidia Tegra K1
The Nvidia Tegra K1 is a mobile system-on-chip that introduced desktop-class Kepler GPU architecture to smartphones and tablets, significantly boosting their graphics and compute performance.
-
D.
Nvidia Tegra 4
Nvidia Tegra 4 is a mobile system-on-chip by Nvidia that significantly improved performance and power efficiency for smartphones and tablets over its predecessor.
-
E.
Raspberry Pi
Raspberry Pi is a low-cost, credit card–sized single-board computer widely used for education, DIY electronics projects, and lightweight computing tasks.
- 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9029ef048190bdda5ee41618e720 |
completed | April 14, 2026, 7:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bc2836c8190a61dfd04127fd255 |
completed | May 8, 2026, 3:42 a.m. |
| NEDg | Description generation | batch_69fd5d8c0e4881908dac3fb5a5ac79bc |
completed | May 8, 2026, 3:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd5e46c184819092ebb2b5aad28125 |
completed | May 8, 2026, 3:53 a.m. |
Created at: April 10, 2026, 1:16 a.m.