Triple
T18138342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Administración de Parques Nacionales |
E434194
|
entity |
| Predicate | typeOfProtectedAreas |
P110335
|
FINISHED |
| Object | parques nacionales |
—
|
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: parques nacionales | Statement: [Administración de Parques Nacionales, typeOfProtectedAreas, parques nacionales]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfProtectedAreas Context triple: [Administración de Parques Nacionales, typeOfProtectedAreas, parques nacionales]
-
A.
typeOfProtectedAreasManaged
Indicates the specific categories or kinds of protected areas that an entity is responsible for managing.
-
B.
relatedProtectedAreaType
Indicates that one protected area is associated with another through a specific type of protected-area relationship or classification.
-
C.
stateProtectedAreaType
Indicates that an area is designated as a specific type or category of state-protected area.
-
D.
partOfProtectedAreaCategory
Indicates that one protected area belongs to, or is classified under, a specific protected area category.
-
E.
isTypeOfProtectedArea
chosen
Indicates that one entity is classified as a specific type or category of protected area in relation to another entity.
- 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de0993e88190b19c5cb35a6d252d |
completed | April 19, 2026, 1:52 p.m. |
| PD | Predicate disambiguation | batch_69e43317d11c81908d1dc14921566b47 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:29 a.m.