Triple
T239070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Billy Bishop Toronto City Airport |
E4887
|
entity |
| Predicate | surfaceAccess |
P9477
|
FINISHED |
| Object | pedestrian tunnel |
—
|
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: pedestrian tunnel | Statement: [Billy Bishop Toronto City Airport, surfaceAccess, pedestrian tunnel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: surfaceAccess Context triple: [Billy Bishop Toronto City Airport, surfaceAccess, pedestrian tunnel]
-
A.
surfaceType
Indicates the kind or classification of surface associated with an entity or interaction.
-
B.
accessibleFrom
Indicates that one entity can be reached, entered, or used starting from another entity, typically without obstruction.
-
C.
mediaAccess
Indicates that one entity has the ability, permission, or means to view, use, or interact with a particular media resource.
-
D.
accessMode
Indicates the manner or method by which an entity can be accessed, used, or interacted with.
-
E.
accessMethod
Indicates the means, process, or technique by which something is accessed, retrieved, or made available.
- F. None of above. chosen
Provenance (4 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_69a257c3d0708190b0871c4269d273e6 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25dacf60c8190a5c3ef455b9a8b20 |
completed | Feb. 28, 2026, 3:14 a.m. |
| PD | Predicate disambiguation | batch_69a25b5f27208190ae13f34037fe582b |
completed | Feb. 28, 2026, 3:05 a.m. |
| PDg | Predicate description generation | batch_69a25dab745c8190829b7b5e915936e8 |
completed | Feb. 28, 2026, 3:14 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.