Triple
T1866723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reverse ARP |
E34937
|
entity |
| Predicate | bootEnvironmentUse |
P13408
|
FINISHED |
| Object | early network boot environments |
—
|
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: early network boot environments | Statement: [Reverse ARP, bootEnvironmentUse, early network boot environments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bootEnvironmentUse Context triple: [Reverse ARP, bootEnvironmentUse, early network boot environments]
-
A.
usedInEnvironment
chosen
Indicates that something is utilized or operates within a particular environment or context.
-
B.
bootMedium
Indicates that one entity serves as the medium or device from which another entity is booted or started.
-
C.
bootTimeCharacteristic
Indicates the duration or properties of the time it takes a system or device to start up from an inactive state.
-
D.
supportsEnvironment
Indicates that one entity provides the necessary conditions, compatibility, or resources for another entity to operate or exist within a particular environment.
-
E.
bootLoader
Indicates that one entity functions as the boot loader responsible for initializing or starting up another entity (such as a system, device, or software environment).
- 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_69a88600b2f88190bc09303e68ab517e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abb16c09e48190a345c95eab59fd87 |
completed | March 7, 2026, 5:02 a.m. |
| PD | Predicate disambiguation | batch_69abafe02c3c819093a4744b476106ca |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:34 p.m.