Triple
T28617711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | diskpart |
E724309
|
entity |
| Predicate | canShrink |
P68033
|
FINISHED |
| Object | volumes |
—
|
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: volumes | Statement: [diskpart, canShrink, volumes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canShrink Context triple: [diskpart, canShrink, volumes]
-
A.
dieShrinkOf
Indicates that one entity is a smaller, more advanced manufacturing process node derived from the other entity’s larger, earlier process node.
-
B.
dieShrinkOf
Indicates that one entity is a smaller, more advanced manufacturing process node derived from another, larger process node.
-
C.
canHaveSmallerSize
chosen
Indicates that one entity is capable of having a smaller size than another entity or than its own current or typical size.
-
D.
canBeContractedOutOf
Indicates that a right, obligation, or condition may be removed, waived, or excluded through a contractual agreement between the parties.
-
E.
canFold
Indicates that one entity has the ability to be bent or collapsed into a more compact form, typically without breaking.
- 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_69f01d816d7c8190a1fe27e3434041dc |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f652a492108190b885b955ce147d3c |
completed | May 2, 2026, 7:38 p.m. |
| PD | Predicate disambiguation | batch_69f651aad92c8190b874b3b5f9f64434 |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 28, 2026, 4:32 a.m.