Triple
T18016095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VOCSegmentation |
E431001
|
entity |
| Predicate | implementsMethod |
P130121
|
FINISHED |
| Object | __getitem__ |
—
|
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: __getitem__ | Statement: [VOCSegmentation, implementsMethod, __getitem__]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: implementsMethod Context triple: [VOCSegmentation, implementsMethod, __getitem__]
-
A.
usesMethods
Indicates that one entity employs, applies, or relies on specific methods or techniques to perform an action or achieve a result.
-
B.
usesImplement
Indicates that one entity employs or makes use of another entity as a tool, instrument, or means to perform an action or achieve a purpose.
-
C.
implementedFor
Indicates that one entity has been created, developed, or configured to operate on behalf of, or to fulfill the needs or requirements of, another entity.
-
D.
interceptionMethod
Indicates the technique or means by which an interception (such as capturing data, signals, or communications) is carried out.
-
E.
adoptedByMethod
Indicates that something is accepted, implemented, or brought into use through a specified method or procedure.
- F. None of above. chosen
Provenance (4 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b523f588819097389e067dda7f23 |
completed | April 19, 2026, 10:57 a.m. |
| PD | Predicate disambiguation | batch_69e3f904b8048190add43883cd7cb191 |
completed | April 18, 2026, 9:35 p.m. |
| PDg | Predicate description generation | batch_69e42d8d68288190a05dc5d7803cf823 |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 10, 2026, 10:24 a.m.