Triple
T33371039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gran Asunción |
E854490
|
entity |
| Predicate | urbanPlanningChallenges |
P91028
|
FINISHED |
| Object | informal settlements |
—
|
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: informal settlements | Statement: [Gran Asunción, urbanPlanningChallenges, informal settlements]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: urbanPlanningChallenges Context triple: [Gran Asunción, urbanPlanningChallenges, informal settlements]
-
A.
urbanPlanningTheme
chosen
Indicates a thematic relationship in which an entity is concerned with, addresses, or is categorized under topics related to urban planning.
-
B.
urbanPlanningOutcome
Indicates the result or impact that urban planning decisions or processes have on a place, system, or population.
-
C.
urbanPlanningFunction
Indicates a functional role or purpose that something serves within the planning, organization, or management of urban spaces and infrastructure.
-
D.
urbanPlanningInfluencedBy
Indicates that the principles, decisions, or outcomes of urban planning are shaped or guided by another factor, entity, or process.
-
E.
urbanPlanningForm
Indicates the specific type or structure of urban planning approach applied to a place or development.
- 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_69f3496bda8c8190bfc8fade9d1b791c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f38159d08190980ad639e08f00f4 |
completed | May 3, 2026, 7:04 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d7bee48190b94e0beb48a1d7fa |
completed | May 3, 2026, 5:57 a.m. |
Created at: May 1, 2026, 1:35 a.m.