Triple
T27885872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Performance Monitor |
E705219
|
entity |
| Predicate | supportsLoggingTo |
P167681
|
FINISHED |
| Object | binary log files |
—
|
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: binary log files | Statement: [Performance Monitor, supportsLoggingTo, binary log files]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsLoggingTo Context triple: [Performance Monitor, supportsLoggingTo, binary log files]
-
A.
canLog
chosen
Indicates that an entity has the ability or permission to record events or information into a log.
-
B.
supportsAWSCloudTrailLogging
Indicates that an entity enables or is compatible with logging events and activities to AWS CloudTrail.
-
C.
mayLog
Indicates that an entity is permitted or authorized to record, store, or write log information about another entity or event.
-
D.
supportsAt
Indicates that one entity provides assistance, endorsement, or backing to another entity in a specific context, location, or point in time.
-
E.
supportedIn
Indicates that one entity is valid, applicable, or functionally enabled within the context, environment, platform, or scope defined by 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_69ef96b39c448190a9b3aa6672a5168f |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_6a0039c2d5d48190b8ef2c7ef17d8dc5 |
completed | May 10, 2026, 7:54 a.m. |
| PD | Predicate disambiguation | batch_6a0038e525448190a4c815f51595e78d |
completed | May 10, 2026, 7:51 a.m. |
Created at: April 27, 2026, 6:33 p.m.