Triple
T36872731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OpenNTPD |
E911263
|
entity |
| Predicate | emphasisComparedToNTPReference |
P186629
|
FINISHED |
| Object | simpler configuration |
—
|
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: simpler configuration | Statement: [OpenNTPD, emphasisComparedToNTPReference, simpler configuration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emphasisComparedToNTPReference Context triple: [OpenNTPD, emphasisComparedToNTPReference, simpler configuration]
-
A.
timeSignificance
Indicates the degree to which a specific point or interval in time is important, impactful, or meaningful within a given context.
-
B.
timeSensitivity
Indicates how strongly the relationship or action depends on, changes with, or is constrained by time.
-
C.
timeInterpretation
Indicates how a given temporal expression or event should be understood or interpreted in terms of time (e.g., its reference point, scope, or temporal role).
-
D.
timeOfDayEmphasized
Indicates that a particular time of day is highlighted or given special prominence in relation to an event or situation.
-
E.
timeOffsetReference
Indicates that a temporal value is specified relative to a particular reference time or event, defining the offset between them.
- F. None of above. chosen
Provenance (4 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_69f76e82339881909607a65c0503d941 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f9fe1a1ca4819084c196f0041f0be2 |
completed | May 5, 2026, 2:26 p.m. |
| PD | Predicate disambiguation | batch_69f7cf7890008190a8bc355ff2d61c86 |
completed | May 3, 2026, 10:43 p.m. |
| PDg | Predicate description generation | batch_69f9fd66eed48190bdc26a8def328c2d |
completed | May 5, 2026, 2:23 p.m. |
Created at: May 3, 2026, 4:13 p.m.