Triple
T2108358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Network Time Protocol |
E42445
|
entity |
| Predicate | timestampFormat |
P2162
|
FINISHED |
| Object | 32 bits seconds and 32 bits fractional seconds |
—
|
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: 32 bits seconds and 32 bits fractional seconds | Statement: [Network Time Protocol, timestampFormat, 32 bits seconds and 32 bits fractional seconds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timestampFormat Context triple: [Network Time Protocol, timestampFormat, 32 bits seconds and 32 bits fractional seconds]
-
A.
typicalFormatDuration
Indicates the usual or standard length of time associated with a particular format or presentation of something.
-
B.
timeNotation
chosen
Indicates the specific system or format used to represent and write times (e.g., 12-hour vs 24-hour notation).
-
C.
timeStructure
Indicates that one entity defines, constrains, or organizes the temporal framework or schedule within which another entity exists or operates.
-
D.
formatAfter
Indicates that one entity’s format or structural arrangement is derived from, follows, or is applied subsequent to another entity’s format.
-
E.
timeType
Indicates the specific temporal category or classification associated with a time-related entity or value (e.g., duration, point in time, interval, or recurrence type).
- 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_69a8871040f08190aac2e2d0ab6b47ad |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abbae03f308190841f5a419bb821f6 |
completed | March 7, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69abb7b7b6288190afa11b4d93bd5666 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:43 p.m.