Triple
T12515338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Intel HEX |
E299178
|
entity |
| Predicate | checksumPurpose |
P35572
|
FINISHED |
| Object | error detection |
—
|
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: error detection | Statement: [Intel HEX, checksumPurpose, error detection]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: checksumPurpose Context triple: [Intel HEX, checksumPurpose, error detection]
-
A.
checksum
chosen
Indicates that a value has been computed from data to verify its integrity or detect errors in transmission or storage.
-
B.
encodingPurpose
Indicates the reason or intended use for which an encoding is created or applied.
-
C.
certificatePurpose
Indicates the intended use or function for which a certificate is issued or valid.
-
D.
usesIntegrityCheck
Indicates that an entity employs a mechanism to verify the integrity or correctness of data, code, or operations.
-
E.
trustPurpose
Indicates that one entity has a specific intended use, goal, or objective for which a trust or trusted arrangement is established 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d954b867dc8190af8a70f797e4d133 |
completed | April 10, 2026, 7:51 p.m. |
| PD | Predicate disambiguation | batch_69d954096af88190b6be81b008c82139 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 9:57 p.m.