Triple
T31440790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mac OS X 10.1 Puma |
E802059
|
entity |
| Predicate | supportsMemory |
P33566
|
FINISHED |
| Object | protected memory |
—
|
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: protected memory | Statement: [Mac OS X 10.1 Puma, supportsMemory, protected memory]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsMemory Context triple: [Mac OS X 10.1 Puma, supportsMemory, protected memory]
-
A.
hasMemoryIn
Indicates that an entity possesses or stores memory, information, or experiences within a specified context, location, or medium.
-
B.
supportsMemoryProtection
chosen
Indicates that one entity provides mechanisms to prevent unauthorized access or interference with another entity’s memory space.
-
C.
hasMemoryStatus
Indicates the current state or condition of an entity’s memory (such as availability, usage, or health).
-
D.
supportsMemoryCard
Indicates that one entity is compatible with and can accept or use a memory card associated with another entity.
-
E.
hasRAM
Indicates that an entity possesses or is equipped with a specified amount or type of random-access memory (RAM).
- F. None of above.
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_69f348c5a6bc819092a557e95438976f |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e5174c8190a0bdde7e381b7624 |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 30, 2026, 9:05 p.m.