Triple
T4277130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ColumnTransformer |
E97069
|
entity |
| Predicate | supportsColumnSelectionBy |
P55151
|
FINISHED |
| Object | column indices |
—
|
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: column indices | Statement: [ColumnTransformer, supportsColumnSelectionBy, column indices]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsColumnSelectionBy Context triple: [ColumnTransformer, supportsColumnSelectionBy, column indices]
-
A.
hasColumns
Indicates that one entity possesses or is characterized by a set of columns associated with it.
-
B.
hasMemberSelectionMethod
Indicates the method or criteria by which members of a group, organization, or body are chosen or selected.
-
C.
supportsField
Indicates that one entity provides the necessary structure, stability, or backing for a particular field, area, or domain associated with another entity.
-
D.
isSelective
Indicates that the relationship or action involves choosing or affecting only certain specific entities or options while excluding others based on particular criteria.
-
E.
supportedAs
Indicates that one entity is accepted, recognized, or treated as being in the role, type, or representation of another entity.
- 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_69b34544be3c819084d1ab82d29f90c5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3501ef1388190b0c968b069014a59 |
completed | March 12, 2026, 11:45 p.m. |
| PD | Predicate disambiguation | batch_69b347faa45481908c19c29fb906dc92 |
completed | March 12, 2026, 11:10 p.m. |
| PDg | Predicate description generation | batch_69b34e0606488190baadf469a1afc3c2 |
completed | March 12, 2026, 11:36 p.m. |
Created at: March 12, 2026, 11:07 p.m.