Triple
T14443559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ARMv5 |
E358144
|
entity |
| Predicate | codeDensity |
P114297
|
FINISHED |
| Object | improved via Thumb support |
—
|
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: improved via Thumb support | Statement: [ARMv5, codeDensity, improved via Thumb support]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: codeDensity Context triple: [ARMv5, codeDensity, improved via Thumb support]
-
A.
linesOfCodeApprox
Indicates an approximate or estimated number of lines of code associated with an entity.
-
B.
statisticsCode
Indicates that an entity is associated with a specific statistics-related code used for classification, reporting, or analysis.
-
C.
scriptCodeLength
Indicates the length or number of characters in a given script or code sequence.
-
D.
clusterDensity
Indicates the degree to which elements within a cluster are closely packed or concentrated relative to its size or volume.
-
E.
givesDensityOf
Indicates that one entity provides or specifies the density value of another entity.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de915d28ec81909e72124e9dd67bfb |
completed | April 14, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69de5c3a02fc819097373f97a260cdeb |
completed | April 14, 2026, 3:24 p.m. |
| PDg | Predicate description generation | batch_69de5fb4de14819092acdecbd201d672 |
completed | April 14, 2026, 3:39 p.m. |
Created at: April 10, 2026, 1:19 a.m.