Triple
T26012689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pozos Azules |
E646942
|
entity |
| Predicate | regionPopularWith |
P174230
|
FINISHED |
| Object | visitors to Villa de Leyva |
—
|
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: visitors to Villa de Leyva | Statement: [Pozos Azules, regionPopularWith, visitors to Villa de Leyva]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionPopularWith Context triple: [Pozos Azules, regionPopularWith, visitors to Villa de Leyva]
-
A.
regionPopularFor
Indicates that a particular region is well known or widely recognized for a specific activity, product, feature, or characteristic.
-
B.
primaryRegionOfPopularity
Indicates the geographic region where something is most widely used, favored, or popular compared to other regions.
-
C.
lessPopularInRegion
Indicates that one entity is less popular than another within a specified geographic region.
-
D.
regionPromoted
Indicates that a specific geographic or administrative region has been elevated to a higher status, priority, or level within a defined hierarchy or system.
-
E.
relativePopulation
Indicates the comparative size of one population relative to another, typically expressing how large, small, or proportionate it is.
- 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_69e77e8aa65881909ca58918f29ab2a0 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f6bcc425588190afd0dceba43ed79f |
completed | May 3, 2026, 3:11 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6b1e6c8190adf9d6a257e0b744 |
completed | May 3, 2026, 3 a.m. |
| PDg | Predicate description generation | batch_69f6bbf5a8288190ae170bcbe8ab65cf |
completed | May 3, 2026, 3:07 a.m. |
Created at: April 22, 2026, 9:02 a.m.