Triple
T23347621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Bellevue |
E591909
|
entity |
| Predicate | hasStreetscapePolicy |
P104554
|
FINISHED |
| Object | pedestrian-oriented design guidelines |
—
|
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-oriented design guidelines | Statement: [Old Bellevue, hasStreetscapePolicy, pedestrian-oriented design guidelines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStreetscapePolicy Context triple: [Old Bellevue, hasStreetscapePolicy, pedestrian-oriented design guidelines]
-
A.
isPartOfStreetscape
Indicates that something forms a component or element within the overall layout or visual composition of a streetscape.
-
B.
hasPublicSpacePolicy
chosen
Indicates that an entity has an established policy governing the use, management, or regulation of public spaces.
-
C.
hasBicyclePolicy
Indicates that there exists a specific policy or set of rules governing the use, storage, or management of bicycles in relation to the subject.
-
D.
hasUrbanPlanningRule
Indicates that an entity is subject to, governed by, or associated with a specific urban planning rule or regulation.
-
E.
streetscapeStyle
Indicates the characteristic visual and design style that defines the overall appearance and layout of a street and its surrounding public realm.
- 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_69e25d20e3d08190bcede87673cafb25 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1983840a481908c503e47ef2158e3 |
completed | April 29, 2026, 5:33 a.m. |
| PD | Predicate disambiguation | batch_69effcfd8d288190937a887fe6023c11 |
completed | April 28, 2026, 12:19 a.m. |
Created at: April 17, 2026, 5:19 p.m.