Triple
T8735834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oakwood Village |
E207379
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | York, Toronto |
E722468
|
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: York, Toronto | Statement: [Oakwood Village, partOf, York, Toronto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: York, Toronto Context triple: [Oakwood Village, partOf, York, Toronto]
-
A.
Toronto
Toronto is the largest city in Canada and a major cultural, financial, and media hub located in the province of Ontario.
-
B.
York, Ontario
chosen
York, Ontario is a former municipality and now a district within the city of Toronto, Canada, known for its diverse residential neighborhoods and major north–south thoroughfares.
-
C.
North York
North York is a major district in the north end of Toronto, Ontario, known for its dense urban development, shopping centers, and mixed residential and commercial areas.
-
D.
Toronto–St. Paul’s
Toronto–St. Paul’s is a midtown Toronto municipal ward and provincial/federal electoral district known for its diverse, largely residential neighbourhoods and strong cultural and commercial corridors.
-
E.
London, Ontario
London, Ontario is a mid-sized Canadian city in southwestern Ontario known for its educational institutions, healthcare sector, and role as a regional economic and cultural hub.
- 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_69ca835a03a081909d4d4cd01a18c9fb |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d44275881909f7eb40b24180294 |
completed | March 31, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf293a6a3c8190b37738d222b9212f |
completed | April 3, 2026, 2:43 a.m. |
Created at: March 30, 2026, 6:37 p.m.