Triple
T7115529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OBDA systems |
E165807
|
entity |
| Predicate | exampleImplementation |
P74636
|
FINISHED |
| Object |
QuOnto
QuOnto is an Ontology-Based Data Access (OBDA) system that enables querying relational databases through an ontology using description logics.
|
E641818
|
NE FINISHED |
How this triple was built (4 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: QuOnto | Statement: [OBDA systems, exampleImplementation, QuOnto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: QuOnto Context triple: [OBDA systems, exampleImplementation, QuOnto]
-
A.
Ontario
Ontario is a city in southwestern San Bernardino County, California, known as a major logistics and transportation hub anchored by Ontario International Airport and extensive freeway and rail connections.
-
B.
Ontario
Ontario is Canada’s most populous province, home to the nation’s capital Ottawa and its largest city Toronto, and a major economic and cultural hub.
-
C.
O.Ont
O.Ont is the post-nominal abbreviation used by members of the Order of Ontario, the province’s highest official honor.
-
D.
Quebec East
Quebec East was a federal electoral district in Quebec, Canada, historically notable as the long-time constituency of Prime Minister Sir Wilfrid Laurier.
-
E.
Abitibi
Abitibi is a resource-rich region in western Quebec, Canada, known for its mining, forestry, and dispersed rural communities.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: QuOnto Triple: [OBDA systems, exampleImplementation, QuOnto]
Generated description
QuOnto is an Ontology-Based Data Access (OBDA) system that enables querying relational databases through an ontology using description logics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: QuOnto Target entity description: QuOnto is an Ontology-Based Data Access (OBDA) system that enables querying relational databases through an ontology using description logics.
-
A.
Ontario
Ontario is Canada’s most populous province, home to the nation’s capital Ottawa and its largest city Toronto, and a major economic and cultural hub.
-
B.
Ontario
Ontario is a city in southwestern San Bernardino County, California, known as a major logistics and transportation hub anchored by Ontario International Airport and extensive freeway and rail connections.
-
C.
O.Ont
O.Ont is the post-nominal abbreviation used by members of the Order of Ontario, the province’s highest official honor.
-
D.
Quebec East
Quebec East was a federal electoral district in Quebec, Canada, historically notable as the long-time constituency of Prime Minister Sir Wilfrid Laurier.
-
E.
Abitibi
Abitibi is a resource-rich region in western Quebec, Canada, known for its mining, forestry, and dispersed rural communities.
- F. None of above. chosen
Provenance (5 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_69c6888227bc8190a1394679e3116f90 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e7759a048190815689298befa8d7 |
completed | March 27, 2026, 8:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79cbfc7a08190ab07f3d65aa79f16 |
completed | March 28, 2026, 9:17 a.m. |
| NEDg | Description generation | batch_69c79d0215888190b0e59c2584358a05 |
completed | March 28, 2026, 9:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c79d63b6dc8190b3b52ef6566ba490 |
completed | March 28, 2026, 9:20 a.m. |
Created at: March 27, 2026, 2:43 p.m.