Triple
T33848311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baños |
E867541
|
entity |
| Predicate | popularAttraction |
P176552
|
FINISHED |
| Object | Ruta de las Cascadas |
—
|
NE NERFINISHED |
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: Ruta de las Cascadas | Statement: [Baños, popularAttraction, Ruta de las Cascadas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: popularAttraction Context triple: [Baños, popularAttraction, Ruta de las Cascadas]
-
A.
isMajorAttractionFor
Indicates that something serves as a primary or highly significant draw or point of interest for a particular audience, group, or location.
-
B.
ridesAttraction
Indicates that an entity participates in experiencing or using an attraction, such as going on a ride at a venue or amusement location.
-
C.
isPopularAttraction
chosen
Indicates that something is widely liked, frequently visited, or highly regarded as an attraction in a particular context or location.
-
D.
relatedAttraction
Indicates that one attraction is associated with or connected to another attraction in some relevant way.
-
E.
isMajorAttractionIn
Indicates that something is a primary or highly significant attraction within a particular place or location.
- 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_69f349937b648190a34ada70f6a2b534 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd0b92f42881908cd77e3f058adcc2 |
completed | May 7, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fd0a3d68d4819094d92040f7c48d7c |
completed | May 7, 2026, 9:55 p.m. |
Created at: May 1, 2026, 1:47 a.m.