Triple
T6949106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doug Ford |
E160874
|
entity |
| Predicate | workLocation |
P7
|
FINISHED |
| Object | Queen's Park |
E36386
|
NE 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: Queen's Park | Statement: [Doug Ford, workLocation, Queen's Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Queen's Park Context triple: [Doug Ford, workLocation, Queen's Park]
-
A.
Queen's Park
Queen's Park is a notable recreational and cultural venue in St. George's, Grenada, often used for sports events and community gatherings.
-
B.
Queen's Park
Queen's Park is a district in northwest London known for its Victorian and Edwardian residential streets, namesake park, and vibrant local community.
-
C.
Queen’s Park
chosen
Queen’s Park is a large public park and the site of Ontario’s Legislative Building in downtown Toronto, Canada.
-
D.
Queen’s Park
Queen’s Park is a historic Scottish football club based in Glasgow, known for its amateur roots and significant role in the early development of the sport.
-
E.
Queens Park
Queens Park is a large, historic public park and recreational green space in Invercargill, New Zealand, known for its gardens, walking trails, and community facilities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c68850419081909fb426b8f5a304c7 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6daad028c8190a6db5b2d029d4dfc |
completed | March 27, 2026, 7:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7618876948190abda9cb234bbe225 |
completed | March 28, 2026, 5:05 a.m. |
Created at: March 27, 2026, 2:28 p.m.