Triple
T11751444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FDISK |
E279413
|
entity |
| Predicate | doesNotOperateOn |
P73176
|
FINISHED |
| Object | individual files |
—
|
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: individual files | Statement: [FDISK, doesNotOperateOn, individual files]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: doesNotOperateOn Context triple: [FDISK, doesNotOperateOn, individual files]
-
A.
doesNotOperate
Indicates that an entity is not functioning, active, or performing its intended operation in relation to another entity or context.
-
B.
doNotApplyTo
chosen
Indicates that something is excluded from affecting, covering, or being relevant to a specified target or case.
-
C.
doesNotUse
Indicates that one entity intentionally refrains from employing, utilizing, or relying on another entity, method, or resource.
-
D.
doesNot
Indicates that a specified entity lacks, refrains from, or fails to perform a particular action or exhibit a particular property in relation to another entity or context.
-
E.
doesNotReplace
Indicates that one entity does not take over, substitute for, or serve as a replacement for another entity in a given context.
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a509c2448190b0deb7ed29c3a73f |
completed | April 10, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69d88a813cc48190a3dfdc60e8af80ae |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:41 p.m.