Triple
T29553675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Locoscript |
E749845
|
entity |
| Predicate | fileStorage |
P1596
|
FINISHED |
| Object | 3-inch floppy disk |
—
|
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: 3-inch floppy disk | Statement: [Locoscript, fileStorage, 3-inch floppy disk]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fileStorage Context triple: [Locoscript, fileStorage, 3-inch floppy disk]
-
A.
dataStorage
chosen
Indicates a relationship where one entity serves as a repository that holds, retains, or maintains data for another entity or process.
-
B.
fileManager
Indicates a relationship where an entity manages, organizes, or controls access to files or file-related operations for another entity.
-
C.
fileManagementModel
Indicates a relationship where a model or system is responsible for organizing, storing, modifying, or otherwise managing files and their associated operations.
-
D.
storageInterface
Indicates that one entity serves as a storage interface used by or associated with another entity for storing or retrieving data.
-
E.
storageOrgan
Indicates that one entity serves as a storage organ (a specialized structure for storing substances like nutrients or water) for another entity.
- 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_69f0bd4919e48190942b2a13d5b97d03 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f66cf946f881909d177507a28a657b |
completed | May 2, 2026, 9:30 p.m. |
| PD | Predicate disambiguation | batch_69f6659d36208190b01412600a4ed57d |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 5:14 p.m.