Triple
T18687745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Wharf |
E456908
|
entity |
| Predicate | urbanDesignFocus |
P70554
|
FINISHED |
| Object | public waterfront access |
—
|
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: public waterfront access | Statement: [North Wharf, urbanDesignFocus, public waterfront access]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: urbanDesignFocus Context triple: [North Wharf, urbanDesignFocus, public waterfront access]
-
A.
urbanDesign
Indicates the relationship in which an entity is responsible for planning, organizing, or shaping the physical layout and functional structure of urban spaces.
-
B.
urbanDesignType
Indicates the specific category or style of urban design that characterizes or is applied to a place or project.
-
C.
urbanDesigner
Indicates a relationship where an entity practices or is responsible for planning and designing urban spaces, environments, or city layouts.
-
D.
urbanDesignGoal
chosen
Indicates a goal or intended outcome related to the planning, shaping, or improvement of urban spaces and environments.
-
E.
urbanDesignElement
Indicates a relationship where something functions as a designed feature or component that shapes the form, use, or experience of an urban environment.
- 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_69d8d391eb488190ac2e9abf5bf255e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e55b2e4c6081908bb958bd00d6bec9 |
completed | April 19, 2026, 10:46 p.m. |
| PD | Predicate disambiguation | batch_69e478de85088190ba5f005f1d39f587 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:49 a.m.