Triple
T8285399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canonical Ltd. |
E193775
|
entity |
| Predicate | product |
P490
|
FINISHED |
| Object | MAAS |
E724144
|
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: MAAS | Statement: [Canonical Ltd., product, MAAS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MAAS Context triple: [Canonical Ltd., product, MAAS]
-
A.
MAAS
chosen
MAAS (Metal as a Service) is Canonical Ltd.'s open-source tool for provisioning, managing, and automating bare-metal servers at scale, often used in cloud and data center environments.
-
B.
Ma$e
Ma$e is an American rapper and songwriter known for his late-1990s success with Bad Boy Records and his smooth, laid-back delivery on hits like "Feel So Good."
-
C.
MAST
MAST is a NASA-operated astronomical data archive that stores and provides access to observations from space-based telescopes such as Hubble, Kepler, and TESS.
-
D.
Masinissa
Masinissa was the first king of a unified Numidia, a powerful North African ally of Rome whose cavalry played a decisive role in defeating Carthage during the Second Punic War.
-
E.
Masa
Masa is a Central Chadic language spoken primarily in parts of Cameroon and Chad.
- 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_69ca82e32db481908b72f3804fa71152 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7ad20ae481908179aba245c73fad |
completed | March 31, 2026, 7:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd952399dc8190914951d4e9e36c38 |
completed | April 1, 2026, 9:58 p.m. |
Created at: March 30, 2026, 5:52 p.m.