Triple
T24335912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French Mandate architecture |
E613379
|
entity |
| Predicate | appliedInUrbanPlanning |
P155755
|
FINISHED |
| Object | boulevard planning |
—
|
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: boulevard planning | Statement: [French Mandate architecture, appliedInUrbanPlanning, boulevard planning]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appliedInUrbanPlanning Context triple: [French Mandate architecture, appliedInUrbanPlanning, boulevard planning]
-
A.
hasUrbanPlanning
Indicates that an entity is involved in, responsible for, or characterized by activities or attributes related to urban planning.
-
B.
hasUrbanPlanner
Indicates that an entity is associated with or utilizes a specific urban planner responsible for planning or managing its urban development.
-
C.
mainUrbanPlan
Indicates the primary urban planning scheme or framework that governs the development and organization of a given area.
-
D.
landUsePlanning
Indicates the relationship in which an authority or agent organizes, regulates, or designates how land and space may be used or developed within a given area.
-
E.
urbanDesign
Indicates the relationship in which an entity is responsible for planning, organizing, or shaping the physical layout and functional structure of urban spaces.
- 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_69e2d7dcc5a08190b53691130d56cbc4 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f292f5346881909ca93b7ceef543ed |
completed | April 29, 2026, 11:23 p.m. |
| PD | Predicate disambiguation | batch_69f287ad30048190b3ad3613486f277f |
completed | April 29, 2026, 10:35 p.m. |
| PDg | Predicate description generation | batch_69f28b7ff1808190870dfe9af789a1eb |
completed | April 29, 2026, 10:51 p.m. |
Created at: April 18, 2026, 1:56 a.m.