Triple
T1907628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linux Mint |
E38037
|
entity |
| Predicate | includes |
P1393
|
FINISHED |
| Object |
mintStick
mintStick is a simple USB image writer and formatter utility provided by the Linux Mint distribution for creating bootable USB drives and managing USB media.
|
E212341
|
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: mintStick | Statement: [Linux Mint, includes, mintStick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: mintStick Context triple: [Linux Mint, includes, mintStick]
-
A.
Marcoola
Marcoola is a coastal suburb on Queensland’s Sunshine Coast in Australia, known for its beaches and as the location of the region’s main airport.
-
B.
Selloi
The Selloi were the ancient priests associated with the oracle of Zeus at Dodona in Epirus, known from Homeric tradition.
-
C.
Myki
Myki is Melbourne’s contactless smartcard public transport ticketing system used across trains, trams, and buses in Victoria, Australia.
-
D.
Thumbprint
"Thumbprint" is a horror novella by Joe Hill that follows a traumatized Iraq War veteran who becomes the target of a menacing and mysterious stalker.
-
E.
PiTaPa
PiTaPa is a rechargeable contactless smart card system used for fare payment on public transportation networks in the Kansai region of Japan.
- 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: mintStick Triple: [Linux Mint, includes, mintStick]
Generated description
mintStick is a simple USB image writer and formatter utility provided by the Linux Mint distribution for creating bootable USB drives and managing USB media.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: mintStick Target entity description: mintStick is a simple USB image writer and formatter utility provided by the Linux Mint distribution for creating bootable USB drives and managing USB media.
-
A.
Marcoola
Marcoola is a coastal suburb on Queensland’s Sunshine Coast in Australia, known for its beaches and as the location of the region’s main airport.
-
B.
Selloi
The Selloi were the ancient priests associated with the oracle of Zeus at Dodona in Epirus, known from Homeric tradition.
-
C.
Myki
Myki is Melbourne’s contactless smartcard public transport ticketing system used across trains, trams, and buses in Victoria, Australia.
-
D.
Thumbprint
"Thumbprint" is a horror novella by Joe Hill that follows a traumatized Iraq War veteran who becomes the target of a menacing and mysterious stalker.
-
E.
PiTaPa
PiTaPa is a rechargeable contactless smart card system used for fare payment on public transportation networks in the Kansai region of Japan.
- 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_69a8862a26088190aae5243695aeefc0 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb1b44174819084fa06faf1930221 |
completed | March 7, 2026, 5:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adeafb063481908a08f5570acc5b57 |
completed | March 8, 2026, 9:32 p.m. |
| NEDg | Description generation | batch_69adec22c5e48190af85fa4a1d4c5d8d |
completed | March 8, 2026, 9:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adec9a840c8190a03f4de0f03a0e10 |
completed | March 8, 2026, 9:39 p.m. |
Created at: March 4, 2026, 7:35 p.m.