Triple
T28949531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Vancouver from the North Shore |
E730969
|
entity |
| Predicate | viewAcross |
P17987
|
FINISHED |
| Object | Burrard Inlet |
—
|
NE NERFINISHED |
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: Burrard Inlet | Statement: [City of Vancouver from the North Shore, viewAcross, Burrard Inlet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewAcross Context triple: [City of Vancouver from the North Shore, viewAcross, Burrard Inlet]
-
A.
viewOver
chosen
Indicates that one entity has a visual perspective overlooking or facing another entity, typically providing a vantage point onto it.
-
B.
viewIs
Indicates that one entity is a visual representation or perspective of another entity.
-
C.
across
Indicates a spatial relationship where one entity is on the opposite side of, or extending from one side to the other side of, another entity or area.
-
D.
viewOnHereafter
Indicates a subject’s beliefs, opinions, or perspective regarding the afterlife or what happens after death.
-
E.
viewOnImages
Indicates that one entity views or displays another entity specifically in the form of images.
- 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_69f043eb9bcc819091ac7b07aecb6475 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f65bb75cd08190bbdb63c093ad6210 |
completed | May 2, 2026, 8:16 p.m. |
| PD | Predicate disambiguation | batch_69f659d02f1c8190831758ac52bb54e4 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 8:42 a.m.