Triple
T8507764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DRAM |
E201374
|
entity |
| Predicate | errorHandlingOption |
P66396
|
FINISHED |
| Object | ECC (Error-Correcting Code) |
—
|
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: ECC (Error-Correcting Code) | Statement: [DRAM, errorHandlingOption, ECC (Error-Correcting Code)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: errorHandlingOption Context triple: [DRAM, errorHandlingOption, ECC (Error-Correcting Code)]
-
A.
errorHandlingModel
Indicates how a system or component manages, responds to, and recovers from errors or exceptional conditions during operation.
-
B.
errorHandlingPattern
chosen
Indicates how errors are detected, propagated, and managed within a system or process.
-
C.
errorRecovery
Indicates that an entity detects a failure or error condition and initiates actions to restore normal or acceptable operation.
-
D.
errorType
Indicates the specific category or kind of error associated with an event, action, or entity.
-
E.
errorPhase
Indicates the specific stage or phase in a process or workflow during which an error occurred.
- 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_69ca8320e5748190ac2c585a0bba8193 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe5de18448190a695eec609b34e1a |
completed | March 31, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69cbd10cfd208190a519049fad32c508 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:14 p.m.