Triple
T63764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SSH |
E1267
|
entity |
| Predicate | runsOn |
P23
|
FINISHED |
| Object |
Linux
Linux is a widely used open-source Unix-like operating system kernel that powers servers, desktops, mobile devices, and embedded systems around the world.
|
E5903
|
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: Linux | Statement: [SSH, runsOn, Linux]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Linux Context triple: [SSH, runsOn, Linux]
-
A.
Android
Android is a mobile operating system developed by Google, widely used on smartphones, tablets, and other smart devices around the world.
-
B.
DOS
DOS is the commonly used acronym for the United States Department of State, the federal executive department responsible for U.S. foreign policy and international relations.
-
C.
Chromebook
Chromebook is a line of lightweight laptops that run Google's ChromeOS, designed primarily for web-based computing and cloud-centric use.
-
D.
Microsoft
Microsoft is a multinational technology company best known for its Windows operating system, Office productivity suite, and Azure cloud computing platform.
-
E.
USBOS
USBOS is the UN/LOCODE identifier assigned to the Port of Boston in the United States for international shipping and logistics.
- 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: Linux Triple: [SSH, runsOn, Linux]
Generated description
Linux is a widely used open-source Unix-like operating system kernel that powers servers, desktops, mobile devices, and embedded systems around the world.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Linux Target entity description: Linux is a widely used open-source Unix-like operating system kernel that powers servers, desktops, mobile devices, and embedded systems around the world.
-
A.
Android
Android is a mobile operating system developed by Google, widely used on smartphones, tablets, and other smart devices around the world.
-
B.
DOS
DOS is the commonly used acronym for the United States Department of State, the federal executive department responsible for U.S. foreign policy and international relations.
-
C.
Chromebook
Chromebook is a line of lightweight laptops that run Google's ChromeOS, designed primarily for web-based computing and cloud-centric use.
-
D.
Microsoft
Microsoft is a multinational technology company best known for its Windows operating system, Office productivity suite, and Azure cloud computing platform.
-
E.
USBOS
USBOS is the UN/LOCODE identifier assigned to the Port of Boston in the United States for international shipping and logistics.
- 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_69a24ba4f760819081f6638a3c70538a |
completed | Feb. 28, 2026, 1:57 a.m. |
| NER | Named-entity recognition | batch_69a24ee576fc8190b42e5d50767beefb |
completed | Feb. 28, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2554c4edc8190a44fa66848c5f738 |
completed | Feb. 28, 2026, 2:39 a.m. |
| NEDg | Description generation | batch_69a2569e8d2481909f5a85b688f1660c |
completed | Feb. 28, 2026, 2:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2577fd0c08190b6131261712d28b3 |
completed | Feb. 28, 2026, 2:48 a.m. |
Created at: Feb. 28, 2026, 2:02 a.m.