Triple
T8471812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple 5.25" floppy disk drive |
E200296
|
entity |
| Predicate | sectorCountPerTrack |
P83500
|
FINISHED |
| Object | 16 |
—
|
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: 16 | Statement: [Apple 5.25" floppy disk drive, sectorCountPerTrack, 16]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sectorCountPerTrack Context triple: [Apple 5.25" floppy disk drive, sectorCountPerTrack, 16]
-
A.
numberOfGrooves
Indicates the count of grooves or channels present on or within an object or surface.
-
B.
numberOfTracks
Indicates the quantity of tracks associated with a given entity.
-
C.
shaftCount
Indicates the number of shafts associated with or contained in an object or system.
-
D.
tracksSector
Indicates that one entity monitors, follows, or keeps records of the status or performance of a particular sector.
-
E.
numberOfRailwayTracks
Indicates the quantity of railway tracks associated with or present at a given entity or location.
- 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_69ca831a4f348190bfdd09250e86ae35 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe4f3a81881908f20514579945ffa |
completed | March 31, 2026, 3:14 p.m. |
| PD | Predicate disambiguation | batch_69cbd10072cc819084be1ed9ac7ebe9d |
completed | March 31, 2026, 1:49 p.m. |
| PDg | Predicate description generation | batch_69cbe30c2d088190b4cb89adb4e88273 |
completed | March 31, 2026, 3:06 p.m. |
Created at: March 30, 2026, 6:11 p.m.