Triple
T17278293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murino |
E419448
|
entity |
| Predicate | hasUrbanPlanningIssue |
P32029
|
FINISHED |
| Object | infrastructure strain |
—
|
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: infrastructure strain | Statement: [Murino, hasUrbanPlanningIssue, infrastructure strain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUrbanPlanningIssue Context triple: [Murino, hasUrbanPlanningIssue, infrastructure strain]
-
A.
hasUrbanIssue
chosen
Indicates that an entity experiences, is affected by, or is associated with a specific problem or challenge related to urban environments or city life.
-
B.
hasUrbanPlanning
Indicates that an entity is involved in, responsible for, or characterized by activities or attributes related to urban planning.
-
C.
hasUrbanPlanner
Indicates that an entity is associated with or utilizes a specific urban planner responsible for planning or managing its urban development.
-
D.
mainUrbanPlan
Indicates the primary urban planning scheme or framework that governs the development and organization of a given area.
-
E.
hasUrbanPlanningRule
Indicates that an entity is subject to, governed by, or associated with a specific urban planning rule or regulation.
- 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_69d886da626481908a14ce7830329a35 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e43327b048819095fbd93b2105533a |
completed | April 19, 2026, 1:43 a.m. |
| PD | Predicate disambiguation | batch_69e3832c3b98819091967ac7e91ba316 |
completed | April 18, 2026, 1:12 p.m. |
Created at: April 10, 2026, 5:40 a.m.