Triple
T13653153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scene Completion Using Millions of Photographs |
E326788
|
entity |
| Predicate | datasetSource |
P46377
|
FINISHED |
| Object | online photo collections |
—
|
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: online photo collections | Statement: [Scene Completion Using Millions of Photographs, datasetSource, online photo collections]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: datasetSource Context triple: [Scene Completion Using Millions of Photographs, datasetSource, online photo collections]
-
A.
dataSourceFor
chosen
Indicates that one entity serves as the origin or provider of data that is used or consumed by another entity.
-
B.
samplingSource
Indicates that one entity serves as the origin or provider from which another entity is sampled or drawn.
-
C.
dataAcquisition
Indicates the process by which one entity obtains, collects, or retrieves data from another source or system.
-
D.
trainingDataSource
Indicates the origin or provider from which the training data for a model or system is obtained.
-
E.
dataPortal
Indicates that an entity serves as or is associated with an online interface or gateway through which data can be accessed, managed, or distributed.
- 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_69d8076d8270819092afc2f0e9c359a8 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc609676c8190b5b1cabe6b315142 |
completed | April 12, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69dbbe8a027081908d8f884b89707a5e |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:52 p.m.