Triple
T21627483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ZX81 |
E533739
|
entity |
| Predicate | massStorageFormat |
P91294
|
FINISHED |
| Object | compact cassette |
—
|
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: compact cassette | Statement: [ZX81, massStorageFormat, compact cassette]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: massStorageFormat Context triple: [ZX81, massStorageFormat, compact cassette]
-
A.
storageFormat
chosen
Indicates the specific way in which data or content is physically or logically organized, encoded, and stored.
-
B.
fileFormatStandard
Indicates that something conforms to, specifies, or defines a standardized structure and rules for how data is organized and stored in a file.
-
C.
preservationFormat
Indicates the format or encoding in which something is maintained specifically for long-term preservation.
-
D.
containerFormats
Indicates that one entity serves as a container or packaging format used to hold, encapsulate, or structure the contents of another entity.
-
E.
floppyDiskFormat
Indicates the specific data storage format or standard used on a floppy disk.
- F. None of above.
Provenance (3 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_69e0c464fba881908d0ff2ac80511ce1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef52141e1c8190a861f4bc7cfcb490 |
completed | April 27, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69e69677b9c48190bf81f795aa8ad74e |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:34 p.m.