Triple
T5848787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wellington County, Ontario |
E129776
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Minto
Minto is a small rural town and municipality in southwestern Ontario, Canada, known for its agricultural community and small-town character.
|
E552024
|
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: Minto | Statement: [Wellington County, Ontario, containsMunicipality, Minto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Minto Context triple: [Wellington County, Ontario, containsMunicipality, Minto]
-
A.
Maitland
Maitland is a rural service town located in the central region of South Australia's Yorke Peninsula.
-
B.
Maitland
Maitland is a Scottish surname historically associated with the noble Lauderdale family and other prominent lineages.
-
C.
Camperdown
Camperdown is an inner-western suburb of Sydney, Australia, known for housing the main campus of the University of Sydney and major medical and research facilities.
-
D.
Port Morris
Port Morris is a waterfront industrial and residential neighborhood in the South Bronx of New York City.
-
E.
Belair
Belair is a primarily residential district of Luxembourg City known for its quiet streets, schools, and proximity to the city center.
- 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: Minto Triple: [Wellington County, Ontario, containsMunicipality, Minto]
Generated description
Minto is a small rural town and municipality in southwestern Ontario, Canada, known for its agricultural community and small-town character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Minto Target entity description: Minto is a small rural town and municipality in southwestern Ontario, Canada, known for its agricultural community and small-town character.
-
A.
Maitland
Maitland is a rural service town located in the central region of South Australia's Yorke Peninsula.
-
B.
Maitland
Maitland is a Scottish surname historically associated with the noble Lauderdale family and other prominent lineages.
-
C.
Camperdown
Camperdown is an inner-western suburb of Sydney, Australia, known for housing the main campus of the University of Sydney and major medical and research facilities.
-
D.
Port Morris
Port Morris is a waterfront industrial and residential neighborhood in the South Bronx of New York City.
-
E.
Belair
Belair is a primarily residential district of Luxembourg City known for its quiet streets, schools, and proximity to the city center.
- 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_69c0084bd31c8190a796bb6284845e83 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c035145a0c8190941945a83a3f2416 |
completed | March 22, 2026, 6:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a1b052288190ace51e65f1d888ab |
completed | March 23, 2026, 2:13 a.m. |
| NEDg | Description generation | batch_69c0a5ab04e481909dca08da3e851088 |
completed | March 23, 2026, 2:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0a63aca6c8190bd33b063c8285e34 |
completed | March 23, 2026, 2:32 a.m. |
Created at: March 22, 2026, 3:55 p.m.