Triple
T9897415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | File History |
E182210
|
entity |
| Predicate | backupDestination |
P62732
|
FINISHED |
| Object | external hard drive |
—
|
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: external hard drive | Statement: [File History, backupDestination, external hard drive]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: backupDestination Context triple: [File History, backupDestination, external hard drive]
-
A.
backupCommander
Indicates that one entity serves as the designated backup or alternate commander for another entity.
-
B.
transferDestination
Indicates the entity that serves as the receiving end or target location of a transfer from another entity.
-
C.
originalDestination
Indicates the initial or intended destination associated with an entity before any changes, rerouting, or redirection occur.
-
D.
secondaryStorage
chosen
Indicates that an entity serves as a secondary (non-primary) storage location or medium for another entity’s data or resources.
-
E.
servesAsBackupFor
Indicates that one entity functions as a substitute or fallback that can take over the role or responsibilities of another entity if needed.
- 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_69ca82876f8081909cf75df0f99bb13f |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb4ab15f881909f75a8e01051dbc4 |
completed | April 2, 2026, 12:13 a.m. |
| PD | Predicate disambiguation | batch_69cd1d872d50819096b7ab166a8decf1 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:40 p.m.