Triple
T8459470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Pickering |
E200004
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object |
Brougham
Brougham is a small historic community and neighbourhood within the City of Pickering in Ontario, Canada.
|
E735979
|
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: Brougham | Statement: [City of Pickering, hasNeighbourhood, Brougham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brougham Context triple: [City of Pickering, hasNeighbourhood, Brougham]
-
A.
Brougham
Brougham is a small village and civil parish in Cumbria, England, known for its historic castle and proximity to the town of Penrith.
-
B.
Royal Brougham
Royal Brougham was a prominent Seattle sportswriter and editor known for his long career at the Seattle Post-Intelligencer and his significant influence on the city's sports culture.
-
C.
Lagonda
Lagonda is a historic British luxury car marque renowned for its high-performance grand tourers and association with Aston Martin.
-
D.
Arrol
Arrol is a Scottish surname most notably associated with Sir William Arrol, a prominent 19th-century civil engineer known for major bridge-building projects.
-
E.
Boteler’s Ford
Boteler’s Ford is a historic crossing point on the Potomac River near Shepherdstown, West Virginia, notable as the site of significant Civil War military action.
- 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: Brougham Triple: [City of Pickering, hasNeighbourhood, Brougham]
Generated description
Brougham is a small historic community and neighbourhood within the City of Pickering in Ontario, Canada.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brougham Target entity description: Brougham is a small historic community and neighbourhood within the City of Pickering in Ontario, Canada.
-
A.
Brougham
Brougham is a small village and civil parish in Cumbria, England, known for its historic castle and proximity to the town of Penrith.
-
B.
Royal Brougham
Royal Brougham was a prominent Seattle sportswriter and editor known for his long career at the Seattle Post-Intelligencer and his significant influence on the city's sports culture.
-
C.
Lagonda
Lagonda is a historic British luxury car marque renowned for its high-performance grand tourers and association with Aston Martin.
-
D.
Arrol
Arrol is a Scottish surname most notably associated with Sir William Arrol, a prominent 19th-century civil engineer known for major bridge-building projects.
-
E.
Boteler’s Ford
Boteler’s Ford is a historic crossing point on the Potomac River near Shepherdstown, West Virginia, notable as the site of significant Civil War military action.
- 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.