Triple
T9187466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smart File System (via third-party) |
E220494
|
entity |
| Predicate | dataIntegrityMechanism |
P34886
|
FINISHED |
| Object | journal |
—
|
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: journal | Statement: [Smart File System (via third-party), dataIntegrityMechanism, journal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dataIntegrityMechanism Context triple: [Smart File System (via third-party), dataIntegrityMechanism, journal]
-
A.
securityMechanism
Indicates a relationship where one entity serves as a means or method to protect another entity from threats, vulnerabilities, or unauthorized actions.
-
B.
securityMechanisms
Indicates the protective methods, controls, or procedures implemented to safeguard entities from threats, vulnerabilities, or unauthorized actions.
-
C.
providesIntegrity
chosen
Indicates that one entity ensures the correctness, consistency, and protection from unauthorized alteration of another entity or its data.
-
D.
usesIntegrityCheck
Indicates that an entity employs a mechanism to verify the integrity or correctness of data, code, or operations.
-
E.
reliabilityMechanism
Indicates a mechanism or process that ensures the dependable, consistent, and correct functioning of a system or relationship.
- 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_69ca83e6d77c81909862b7afef56b1bf |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccc31bd6f88190b2ea644420995e41 |
completed | April 1, 2026, 7:02 a.m. |
| PD | Predicate disambiguation | batch_69cc66090e5881908889dc1213815626 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:24 p.m.