Triple
T11658445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raspberry Pi |
E277066
|
entity |
| Predicate | isLowCost |
P100248
|
FINISHED |
| Object | true |
—
|
LITERAL 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: true | Statement: [Raspberry Pi, isLowCost, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLowCost Context triple: [Raspberry Pi, isLowCost, true]
-
A.
hasLowCostCarrierFocus
Indicates that the subject is primarily oriented toward or strategically focused on serving low-cost carrier operations.
-
B.
lowCostTerminal
Indicates that the terminal operates or is provided at a relatively low financial cost compared to alternatives.
-
C.
hasLowCostCarrierOperations
Indicates that an entity operates or is served by low-cost (budget) airline services.
-
D.
hasLow
Indicates that an entity possesses a value, level, or amount of something that is below a defined or expected threshold.
-
E.
introducedAsLowCostModel
Indicates that something was initially presented or launched as a low-cost version or option within its category.
- F. None of above. chosen
Provenance (4 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a3d19c788190826d849a6ffedc72 |
completed | April 10, 2026, 7:16 a.m. |
| PD | Predicate disambiguation | batch_69d85ddc780481909a3bc63832fe2bd2 |
completed | April 10, 2026, 2:18 a.m. |
| PDg | Predicate description generation | batch_69d87f30642c8190ad94fa061cde186b |
completed | April 10, 2026, 4:40 a.m. |
Created at: April 8, 2026, 9:39 p.m.