Triple
T29183174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sad Mac error icon code |
E739796
|
entity |
| Predicate | errorIndicationMethod |
P168130
|
FINISHED |
| Object | icon plus hexadecimal error codes |
—
|
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: icon plus hexadecimal error codes | Statement: [Sad Mac error icon code, errorIndicationMethod, icon plus hexadecimal error codes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: errorIndicationMethod Context triple: [Sad Mac error icon code, errorIndicationMethod, icon plus hexadecimal error codes]
-
A.
errorDetectionMethod
Indicates the method or technique used to detect errors in a process, system, or data.
-
B.
errorAmplificationMethod
Indicates a method or process used to increase, propagate, or magnify errors within a system or computation.
-
C.
errorOn
Indicates that one entity experiences, produces, or is associated with an error in relation to another entity or context.
-
D.
errorDescription
Indicates a textual explanation that describes the nature or details of an error that has occurred.
-
E.
errorReporting
Indicates that one entity reports, logs, or communicates errors or faults related to another entity or process.
- 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_69f07cb74c2c8190ad396487fcb4fde6 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f673633d288190b52ceb9f8a057c44 |
completed | May 2, 2026, 9:57 p.m. |
| PD | Predicate disambiguation | batch_69f66ec5bf508190ad088b89455252bd |
completed | May 2, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69f67256d064819094be04fc1bbbc635 |
completed | May 2, 2026, 9:53 p.m. |
Created at: April 28, 2026, 11:58 a.m.