Triple
T15999546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GD-ROM |
E388059
|
entity |
| Predicate | dataDensityIncreaseMethod |
P120713
|
FINISHED |
| Object | tighter track pitch |
—
|
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: tighter track pitch | Statement: [GD-ROM, dataDensityIncreaseMethod, tighter track pitch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dataDensityIncreaseMethod Context triple: [GD-ROM, dataDensityIncreaseMethod, tighter track pitch]
-
A.
clusterDensity
Indicates the degree to which elements within a cluster are closely packed or concentrated relative to its size or volume.
-
B.
givesDensityOf
Indicates that one entity provides or specifies the density value of another entity.
-
C.
hasHighDensityOf
Indicates that one entity contains or exhibits a large concentration or amount of another entity within a given area, volume, or context.
-
D.
hasDensityParameter
Indicates that an entity is associated with a specific density-related parameter or value used to characterize its density properties.
-
E.
codeDensity
Indicates the proportion of code elements (such as instructions, statements, or functionality) relative to a given size or resource measure (e.g., lines, bytes, or area).
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e173b3bf6c81909230170e833d7ce7 |
completed | April 16, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69e142dc081c819082527e3fa8773460 |
completed | April 16, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69e173af801c8190bfc0f602831bb594 |
completed | April 16, 2026, 11:41 p.m. |
Created at: April 10, 2026, 4:55 a.m.