Triple
T30357774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Memory Stick Micro (M2) |
E772193
|
entity |
| Predicate | removability |
P85615
|
FINISHED |
| Object | removable |
—
|
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: removable | Statement: [Memory Stick Micro (M2), removability, removable]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: removability Context triple: [Memory Stick Micro (M2), removability, removable]
-
A.
removable
chosen
Indicates that one entity can be detached, taken off, or separated from another without causing damage or permanent alteration.
-
B.
removal
Indicates the action or process by which something is taken away, eliminated, or detached from something else.
-
C.
couldRemove
Indicates that one entity has the potential or ability to remove, delete, or take away another entity under certain conditions.
-
D.
removalPartOf
Indicates that one entity is a component or portion that has been taken away or extracted from another entity.
-
E.
removalMechanism
Indicates the method or process by which something is removed, eliminated, or taken away from a system or 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_69f2248c6f5c8190a6177842bf791a3c |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f69dfdda708190be290c7bec205445 |
completed | May 3, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69f69d1a37e081908d1d86b90ff502bd |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 29, 2026, 7:57 p.m.