Triple
T1930332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vaughan |
E40928
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Richmond Hill |
E40378
|
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: Richmond Hill | Statement: [Vaughan, borderedBy, Richmond Hill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richmond Hill Context triple: [Vaughan, borderedBy, Richmond Hill]
-
A.
Richmond Hill
Richmond Hill is a residential neighborhood in the borough of Queens, New York City, known for its diverse population and mix of historic homes and commercial corridors.
-
B.
Thornhill
Thornhill is a suburban community in the Greater Toronto Area known for its diverse population, residential neighborhoods, and proximity to Toronto.
-
C.
Richmond Hill, Ontario
chosen
Richmond Hill, Ontario is a suburban city in the Greater Toronto Area known for its diverse population, strong economy, and rapidly growing residential communities.
-
D.
Lansdowne
Lansdowne is a small suburban borough in Delaware County, Pennsylvania, known for its historic homes and proximity to Philadelphia.
-
E.
Cheviot Hills
Cheviot Hills is an affluent, primarily residential neighborhood on Los Angeles’s Westside known for its quiet streets, golf courses, and proximity to major film and television studios.
- 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_69a8864711648190b07bed24ed76258e |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb296910481908c9668518c09fdb0 |
completed | March 7, 2026, 5:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adfbb2cc988190a4046c17c8389996 |
completed | March 8, 2026, 10:44 p.m. |
Created at: March 4, 2026, 7:35 p.m.