Triple
T7428002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Syslog |
E171415
|
entity |
| Predicate | hasSeverityRange |
P46179
|
FINISHED |
| Object | 0 to 7 |
—
|
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: 0 to 7 | Statement: [Syslog, hasSeverityRange, 0 to 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSeverityRange Context triple: [Syslog, hasSeverityRange, 0 to 7]
-
A.
hasMajorRange
Indicates that one entity encompasses or defines the primary or most extensive range or scope associated with another entity.
-
B.
hasLevel
Indicates that an entity possesses or is associated with a particular degree, rank, or stage within an ordered scale or hierarchy.
-
C.
hasRange
Indicates that a property or relation is constrained to take its values from a specified class, type, or value set.
-
D.
hasDegreeRange
chosen
Indicates that an entity is associated with a minimum and maximum degree value defining a range.
-
E.
majorRangeIncludes
Indicates that a major range (such as a primary geographic or categorical span) encompasses or contains another specified range.
- 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_69c68a63491881909281f73d4d5643bf |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f306bfe481909f99f6792de95ffc |
completed | March 27, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69c6f03648d08190b862d07fef71210c |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:12 p.m.