Triple
T8284911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FCP |
E193764
|
entity |
| Predicate | dataIntegrity |
P5658
|
FINISHED |
| Object | relies on Fibre Channel CRC and SCSI checks |
—
|
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: relies on Fibre Channel CRC and SCSI checks | Statement: [FCP, dataIntegrity, relies on Fibre Channel CRC and SCSI checks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dataIntegrity Context triple: [FCP, dataIntegrity, relies on Fibre Channel CRC and SCSI checks]
-
A.
integrity
Indicates that an entity or relationship maintains wholeness, consistency, and freedom from corruption or unauthorized alteration.
-
B.
integrityImpact
Indicates the extent to which the relationship or action compromises, alters, or destroys the accuracy, consistency, or trustworthiness of the affected entity’s information or state.
-
C.
providesIntegrity
Indicates that one entity ensures the correctness, consistency, and protection from unauthorized alteration of another entity or its data.
-
D.
usesIntegrityCheck
chosen
Indicates that an entity employs a mechanism to verify the integrity or correctness of data, code, or operations.
-
E.
dataManagement
Indicates the relationship in which an entity organizes, stores, maintains, and governs data throughout its lifecycle.
- 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_69ca82e217a48190880695635c44b2ed |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7ad20ae481908179aba245c73fad |
completed | March 31, 2026, 7:42 a.m. |
| PD | Predicate disambiguation | batch_69cb70ad9fc081908741f8c4a4141edf |
completed | March 31, 2026, 6:58 a.m. |
Created at: March 30, 2026, 5:52 p.m.