Triple
T17386552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cascada de Basaseachic |
E422700
|
entity |
| Predicate | parkEstablishmentPurpose |
P127293
|
FINISHED |
| Object | protection of the waterfall and surrounding ecosystems |
—
|
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: protection of the waterfall and surrounding ecosystems | Statement: [Cascada de Basaseachic, parkEstablishmentPurpose, protection of the waterfall and surrounding ecosystems]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parkEstablishmentPurpose Context triple: [Cascada de Basaseachic, parkEstablishmentPurpose, protection of the waterfall and surrounding ecosystems]
-
A.
parkType
Indicates the specific category or classification of a park based on its designated use, management, or characteristics.
-
B.
parkAreaType
Indicates the classification of a park’s area according to its designated type or functional category.
-
C.
parkArea
Indicates that an area of land is designated and used as a park or recreational green space.
-
D.
parkUnit
Indicates that one entity is a designated unit, component, or subdivision within a larger park or park system.
-
E.
parkResort
Indicates a relationship where a park is associated with, located within, or functions as part of a resort.
- 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_69d889d710288190bf0f4762801fefae |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a8a93f48190a31f5cc58d950758 |
completed | April 19, 2026, 2:14 a.m. |
| PD | Predicate disambiguation | batch_69e3b02ac8688190a7182f1b2151d721 |
completed | April 18, 2026, 4:24 p.m. |
| PDg | Predicate description generation | batch_69e3b2a33e8481908fa6ef45290d08aa |
completed | April 18, 2026, 4:34 p.m. |
Created at: April 10, 2026, 5:45 a.m.