Triple
T8459423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Town of Milton |
E200003
|
entity |
| Predicate | hasRegionCode |
P3446
|
FINISHED |
| Object |
Halton
Halton is a regional municipality in Ontario, Canada, encompassing several communities including the rapidly growing Town of Milton.
|
E735978
|
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: Halton | Statement: [Town of Milton, hasRegionCode, Halton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Halton Context triple: [Town of Milton, hasRegionCode, Halton]
-
A.
Halton
Halton is a local government borough in Cheshire, England, encompassing the towns of Runcorn and Widnes along the River Mersey.
-
B.
Halton
Halton is a village and civil parish in Lancashire, England, situated near the River Lune and forming part of the wider Lune Valley area.
-
C.
Halton Hills
Halton Hills is a town in Ontario, Canada, known for its mix of rural landscapes, historic communities like Georgetown and Acton, and its location within the commuter belt of the Toronto region.
-
D.
Brampton
Brampton is a large suburban city in the Greater Toronto Area known for its diverse population and rapidly growing economy.
-
E.
Brampton
Brampton is a market town in Cumbria, England, known for its historic architecture and proximity to Hadrian’s Wall.
- 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: Halton Triple: [Town of Milton, hasRegionCode, Halton]
Generated description
Halton is a regional municipality in Ontario, Canada, encompassing several communities including the rapidly growing Town of Milton.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Halton Target entity description: Halton is a regional municipality in Ontario, Canada, encompassing several communities including the rapidly growing Town of Milton.
-
A.
Halton
Halton is a local government borough in Cheshire, England, encompassing the towns of Runcorn and Widnes along the River Mersey.
-
B.
Halton
Halton is a village and civil parish in Lancashire, England, situated near the River Lune and forming part of the wider Lune Valley area.
-
C.
Halton Hills
Halton Hills is a town in Ontario, Canada, known for its mix of rural landscapes, historic communities like Georgetown and Acton, and its location within the commuter belt of the Toronto region.
-
D.
Brampton
Brampton is a large suburban city in the Greater Toronto Area known for its diverse population and rapidly growing economy.
-
E.
Brampton
Brampton is a market town in Cumbria, England, known for its historic architecture and proximity to Hadrian’s Wall.
- 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_69ca83198c4c8190a337bf717d1813f5 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe49e036c8190abb50ca272266ca6 |
completed | March 31, 2026, 3:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce39caf4bc8190a1850b2124684a2a |
completed | April 2, 2026, 9:41 a.m. |
| NEDg | Description generation | batch_69ce3bb440a8819085352ea50c39c109 |
completed | April 2, 2026, 9:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce3c698210819098367fdacadc936a |
completed | April 2, 2026, 9:52 a.m. |
Created at: March 30, 2026, 6:10 p.m.