Triple
T9210409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victoria Park Avenue |
E221098
|
entity |
| Predicate | hasNeighbourhoodAlong |
P16140
|
FINISHED |
| Object | Oakridge |
E164144
|
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: Oakridge | Statement: [Victoria Park Avenue, hasNeighbourhoodAlong, Oakridge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oakridge Context triple: [Victoria Park Avenue, hasNeighbourhoodAlong, Oakridge]
-
A.
Oakridge
chosen
Oakridge is a residential neighbourhood located in the eastern Toronto district of Scarborough, Ontario, Canada.
-
B.
Oakridge
Oakridge is a residential neighborhood within the town of Basingstoke in Hampshire, England.
-
C.
Oakridge
Oakridge is a residential neighborhood within the affluent suburban community of Blackhawk in Contra Costa County, California.
-
D.
Oakwood
Oakwood is a historically Black Seventh-day Adventist university in Huntsville, Alabama, known for its strong liberal arts and religious studies programs.
-
E.
Oakwood
Oakwood is a residential neighborhood on Staten Island, New York City, known for its suburban character and proximity to the island’s eastern shore.
- 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_69ca83e9d0e081908bdb71097201a06c |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd9b54520819087030148dadd6385 |
completed | April 1, 2026, 8:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d065efcb64819097d4624bd9e423d2 |
completed | April 4, 2026, 1:14 a.m. |
Created at: March 30, 2026, 7:27 p.m.