Triple
T25602342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | QuOnto |
E641818
|
entity |
| Predicate | accessesDataFrom |
P141566
|
FINISHED |
| Object | relational schema |
—
|
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: relational schema | Statement: [QuOnto, accessesDataFrom, relational schema]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: accessesDataFrom Context triple: [QuOnto, accessesDataFrom, relational schema]
-
A.
dataAccessibleTo
Indicates that certain data can be reached, retrieved, or used by a specified entity or system.
-
B.
collectsDataFor
Indicates that one entity gathers or records data on behalf of, or for the benefit of, another entity.
-
C.
usesDataSystem
chosen
Indicates that one entity employs, accesses, or relies on a particular data system to perform its functions or operations.
-
D.
usesDataIn
Indicates that one entity relies on, accesses, or incorporates data from another entity in performing its function or operation.
-
E.
containsDataAbout
Indicates that one entity holds or includes information or records pertaining to another entity.
- 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_69e75dc6ccf081908d49578fd36a76d5 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f60c3b09488190ade1b69ff7f0df0e |
completed | May 2, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f60b8461ac81908c5bd3d73eed59f4 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 21, 2026, 4:36 p.m.