Triple
T1038614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golden Horseshoe |
E22419
|
entity |
| Predicate | curvesAround |
P17801
|
FINISHED |
| Object | western end of Lake Ontario |
—
|
LITERAL 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: western end of Lake Ontario | Statement: [Golden Horseshoe, curvesAround, western end of Lake Ontario]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: curvesAround Context triple: [Golden Horseshoe, curvesAround, western end of Lake Ontario]
-
A.
circles
Indicates that one entity moves around another entity along a roughly circular path or orbit.
-
B.
roundel
Indicates that one entity bears, displays, or is marked with a circular emblem or symbol representing another entity.
-
C.
surrounds
Indicates that one entity is located all around another entity, enclosing or encircling it on multiple sides or completely.
-
D.
around
chosen
Indicates that one entity is located or moves on all or most sides of another entity, encircling or surrounding it spatially.
-
E.
formsGreatCircleWith
Indicates that two paths or segments together lie on the same great circle, forming a continuous great-circle route on a sphere.
- F. None of above.
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_69a493d91478819094cc01fb65564bc1 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b97c64a88190bf1119fdd4940bf3 |
completed | March 1, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69a4b729f8488190b2042bd9c625a833 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:41 p.m.