Triple
T37554824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frenzy |
E933669
|
entity |
| Predicate | loggingCategory |
P173816
|
FINISHED |
| Object | keyword ability |
—
|
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: keyword ability | Statement: [Frenzy, loggingCategory, keyword ability]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: loggingCategory Context triple: [Frenzy, loggingCategory, keyword ability]
-
A.
loggingFramework
Indicates that one entity serves as or uses a software component responsible for recording, formatting, and managing log messages or events for another entity.
-
B.
loggingKey
chosen
Indicates a key or identifier used to record, categorize, or reference entries in a logging or audit system.
-
C.
loggingLocation
Indicates the place or destination where logs or logging information are recorded or stored.
-
D.
loggingTool
Indicates that an entity serves as or uses a tool specifically intended for logging events, data, or activities.
-
E.
loggingLevel
Indicates the severity or detail level at which events or messages are recorded in a logging system.
- 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_69f76eca55bc8190acf25741793d5dac |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba61dff5081909fec88a7aeb0c8a1 |
completed | May 6, 2026, 8:35 p.m. |
| PD | Predicate disambiguation | batch_69fba350e9a8819095893229d9643572 |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 3, 2026, 4:17 p.m.