Triple
T28598534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ironworkers Memorial Second Narrows Crossing |
E723841
|
entity |
| Predicate | isOneOfMainCrossingsOf |
P12328
|
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: [Ironworkers Memorial Second Narrows Crossing, isOneOfMainCrossingsOf, Burrard Inlet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOneOfMainCrossingsOf Context triple: [Ironworkers Memorial Second Narrows Crossing, isOneOfMainCrossingsOf, Burrard Inlet]
-
A.
hasMajorCrossing
chosen
Indicates that one entity has a significant or primary intersection or crossing with another entity.
-
B.
isLocalCrossroads
Indicates that a location serves as a junction where multiple local routes or streets intersect.
-
C.
hasCrossStreets
Indicates that a location is situated at or near the intersection of the specified streets.
-
D.
hasMajorRailCrossing
Indicates that there is a significant railway crossing (such as a major rail line intersecting a road or another transport route) at or associated with the referenced location or entity.
-
E.
crossingOf
Indicates that one entity serves as the intersection or crossing point of two or more linear features, such as roads, paths, or tracks.
- 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_69f01d80b1908190980594837604b8c7 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f6978fe97081908fe568091ad9b159 |
completed | May 3, 2026, 12:32 a.m. |
| PD | Predicate disambiguation | batch_69f69661e6ec8190948251c7516a32ad |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 28, 2026, 4:23 a.m.