Triple
T21091680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Routing Information Protocol |
E519652
|
entity |
| Predicate | usesFlushTimer |
P60696
|
FINISHED |
| Object | 240 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: 240 seconds | Statement: [Routing Information Protocol, usesFlushTimer, 240 seconds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesFlushTimer Context triple: [Routing Information Protocol, usesFlushTimer, 240 seconds]
-
A.
hasTimer
chosen
Indicates that an entity is associated with or controlled by a timer mechanism that measures or limits a duration or interval.
-
B.
usesQueue
Indicates that one entity employs or relies on a queue mechanism to manage or process items, tasks, or messages.
-
C.
requiresTiming
Indicates that one entity’s occurrence, execution, or validity depends on being coordinated with a specific time or temporal condition related to another entity.
-
D.
usesTimingRules
Indicates that one entity applies or operates according to specified timing rules or constraints in relation to another entity or process.
-
E.
hasTimingCapability
Indicates that an entity possesses the ability to measure, control, or manage timing-related aspects of an operation or process.
- 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.