Triple
T15999542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GD-ROM |
E388059
|
entity |
| Predicate | lowDensityAreaUsedFor |
P120711
|
FINISHED |
| Object | audio tracks |
—
|
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: audio tracks | Statement: [GD-ROM, lowDensityAreaUsedFor, audio tracks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lowDensityAreaUsedFor Context triple: [GD-ROM, lowDensityAreaUsedFor, audio tracks]
-
A.
lowerTerraceUse
Indicates that an entity makes use of or occupies the lower terrace portion of a multi-level or terraced area.
-
B.
lowFloor
Indicates that something has a floor positioned close to ground level, allowing easy, step-free access.
-
C.
lowerLocation
Indicates that one entity is located physically below or at a lower vertical position relative to another entity.
-
D.
LowerBayUsage
Indicates that the usage or activity level of a lower bay area is reduced compared to a previous state or relative standard.
-
E.
lowerLevelUsedFor
Indicates that a lower-level component, resource, or abstraction is utilized to implement, support, or realize the functionality of a higher-level one.
- 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.