Triple
T35142087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TListView |
E1014720
|
entity |
| Predicate | usesColumnClass |
P56256
|
FINISHED |
| Object | TListColumn |
—
|
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: TListColumn | Statement: [TListView, usesColumnClass, TListColumn]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesColumnClass Context triple: [TListView, usesColumnClass, TListColumn]
-
A.
supportsColumnSelectionBy
Indicates that one entity enables or provides functionality for another entity to select specific columns.
-
B.
usesClass
chosen
Indicates that one entity makes use of, depends on, or is implemented using a particular class in its structure or behavior.
-
C.
columnIn
Indicates that one entity is located within or belongs to a specific column of another structured entity (such as a table or grid).
-
D.
hasCol
Indicates that one entity possesses, contains, or is associated with a particular color.
-
E.
hasColumns
Indicates that one entity possesses or is characterized by a set of columns associated with it.
- 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_69f76dda7c108190a2ffd93eb6c341a7 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fdd5fba5048190b7d430ae2054a1fd |
completed | May 8, 2026, 12:24 p.m. |
| PD | Predicate disambiguation | batch_69fdd35f76f88190a1854ea27132f9c7 |
completed | May 8, 2026, 12:13 p.m. |
Created at: May 3, 2026, 4:02 p.m.