Triple
T1870006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Macintosh LC |
E39011
|
entity |
| Predicate | ramSlots |
P8614
|
FINISHED |
| Object | 2 SIMM slots |
—
|
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: 2 SIMM slots | Statement: [Macintosh LC, ramSlots, 2 SIMM slots]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ramSlots Context triple: [Macintosh LC, ramSlots, 2 SIMM slots]
-
A.
ramExpandableTo
Indicates that a device’s RAM can be increased from its current capacity up to a specified maximum amount.
-
B.
expandableRAM
Indicates that a device’s RAM can be increased beyond its original capacity, typically by adding or upgrading memory modules.
-
C.
expansionSlots
chosen
Indicates that an entity provides one or more hardware expansion slots available for adding additional components or capabilities.
-
D.
hasRAM
Indicates that an entity possesses or is equipped with a specified amount or type of random-access memory (RAM).
-
E.
supportsMemoryCard
Indicates that one entity is compatible with and can accept or use a memory card associated with another entity.
- 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_69a8862f7074819096afe7fe65e179e9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb0f79fbc819085c54f3189a552d9 |
completed | March 7, 2026, 5 a.m. |
| PD | Predicate disambiguation | batch_69abafe2b56c81909e13d543982e6e13 |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:34 p.m.