Triple
T13317526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Data Archiving and Networked Services |
E317225
|
entity |
| Predicate | dataTypePreserved |
P33715
|
FINISHED |
| Object | research datasets |
—
|
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: research datasets | Statement: [Data Archiving and Networked Services, dataTypePreserved, research datasets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dataTypePreserved Context triple: [Data Archiving and Networked Services, dataTypePreserved, research datasets]
-
A.
mediaTypePreserved
Indicates that the original media type or format of an item has been maintained without alteration.
-
B.
preservationType
Indicates the method or process by which something is preserved or kept from deterioration.
-
C.
dataTypes
chosen
Indicates that one entity specifies or defines the kinds or formats of data that are valid or expected for another entity.
-
D.
hasPreservationType
Indicates the specific method or category of preservation applied to an entity (e.g., how it is stored, conserved, or kept intact).
-
E.
preservesFeature
Indicates that one entity maintains or keeps intact a particular feature, property, or characteristic of another entity during some process or interaction.
- 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_69d806b4d62c81908d4ced1665414be5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6babd88190a5d529df9584b9a4 |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:29 p.m.