Triple
T34622894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple Power Macintosh 7600 |
E889054
|
entity |
| Predicate | cpuSocket |
P86715
|
FINISHED |
| Object | daughtercard slot |
—
|
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: daughtercard slot | Statement: [Apple Power Macintosh 7600, cpuSocket, daughtercard slot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cpuSocket Context triple: [Apple Power Macintosh 7600, cpuSocket, daughtercard slot]
-
A.
cpuSockets
Indicates the number or specific configuration of CPU sockets available or used in a system or hardware setup.
-
B.
cpu
Indicates that an entity functions as, contains, or is associated with a central processing unit (CPU) in a computational system.
-
C.
CPUSocket
chosen
Indicates a relationship where a CPU is designed to be installed into or is compatible with a specific motherboard socket type.
-
D.
cpuModel
Indicates the specific processor model associated with a given computing device or system.
-
E.
cpuTechnology
Indicates the type or generation of CPU technology used or supported by an 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_69f349d64a388190a013cfa9bd33fad7 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7234bcaa48190ac970759d34e254a |
completed | May 3, 2026, 10:28 a.m. |
| PD | Predicate disambiguation | batch_69f72155c48881909bd40b9aa3febd5a |
completed | May 3, 2026, 10:20 a.m. |
Created at: May 1, 2026, 2:04 a.m.