Triple
T270427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ARP |
E5620
|
entity |
| Predicate | cacheType |
P9924
|
FINISHED |
| Object | dynamic ARP entry |
—
|
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: dynamic ARP entry | Statement: [ARP, cacheType, dynamic ARP entry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cacheType Context triple: [ARP, cacheType, dynamic ARP entry]
-
A.
compilationType
Indicates the specific method or mode by which something is compiled or assembled into a final form.
-
B.
codeType
Indicates the classification or category assigned to a particular code within a coding or encoding system.
-
C.
crossType
Indicates a relationship where one entity intersects, passes over, or traverses another, typically implying movement or extension across a boundary, area, or medium.
-
D.
cellType
Indicates the classification relationship that specifies what type of cell an entity is or is associated with.
-
E.
sessionType
Indicates the classification or category of a particular session based on its purpose, format, or context.
- 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_69a25853594c8190b05ec3a586ec88bf |
completed | Feb. 28, 2026, 2:52 a.m. |
| NER | Named-entity recognition | batch_69a25e69a9248190b9e7959b43223baa |
completed | Feb. 28, 2026, 3:18 a.m. |
| PD | Predicate disambiguation | batch_69a25b721180819080d43c43fcbccf87 |
completed | Feb. 28, 2026, 3:05 a.m. |
| PDg | Predicate description generation | batch_69a25e68f0408190bfc851c32d6eebf3 |
completed | Feb. 28, 2026, 3:18 a.m. |
Created at: Feb. 28, 2026, 2:57 a.m.