Triple
T21091677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Routing Information Protocol |
E519652
|
entity |
| Predicate | usesUpdateInterval |
P71451
|
FINISHED |
| Object | 30 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: 30 seconds | Statement: [Routing Information Protocol, usesUpdateInterval, 30 seconds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesUpdateInterval Context triple: [Routing Information Protocol, usesUpdateInterval, 30 seconds]
-
A.
updatedEvery
chosen
Indicates that something is refreshed or brought up to date at a regular, specified interval.
-
B.
isUpdatedWhen
Indicates that one entity undergoes a change or refresh whenever another specified entity is modified or updated.
-
C.
typicalUpdateFrequency
Indicates how often an entity is usually updated or refreshed over time.
-
D.
usesIntervalRatio
Indicates that one entity employs or is based on a specific proportional relationship between two intervals.
-
E.
latestInterval
Indicates that the related interval is the most recent or last occurring time span among a set of intervals.
- 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_69e0b507dd9081908fb8bfcbef4c8b46 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7094f6ebc8190a90b014755a9d4a6 |
completed | April 21, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69e5dbfcd5e881908f1e4e0d2d237856 |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 2:51 p.m.