Triple
T23121291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parque Estadual Dois Irmãos |
E576899
|
entity |
| Predicate | isUrbanForestFragment |
P24628
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Parque Estadual Dois Irmãos, isUrbanForestFragment, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isUrbanForestFragment Context triple: [Parque Estadual Dois Irmãos, isUrbanForestFragment, true]
-
A.
isUrbanForest
chosen
Indicates that an area of trees and vegetation is located within or closely integrated with an urban or suburban environment.
-
B.
isForested
Indicates that an area or region is covered predominantly by forest or dense tree vegetation.
-
C.
isUrbanOasisFor
Indicates a place serves as a refreshing, nature-rich retreat or sanctuary within an otherwise urban or heavily built-up environment for a given entity.
-
D.
isUrbanFringeSite
Indicates that a site is located on the transitional boundary between urban development and surrounding rural or undeveloped areas.
-
E.
isUrbanOpenSpace
Indicates that a given area functions as an open, publicly accessible space within 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_69e245f6c2e881909a228fdcfeb7c7d3 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e50c500819095d59aef44388153 |
completed | April 29, 2026, 4:51 a.m. |
| PD | Predicate disambiguation | batch_69ef89f020588190b43393e048e7eda3 |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 3:59 p.m.