Triple
T29594678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canelones Department |
E754259
|
entity |
| Predicate | isPopulousRelativeTo |
P54100
|
FINISHED |
| Object | other departments of Uruguay |
—
|
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: other departments of Uruguay | Statement: [Canelones Department, isPopulousRelativeTo, other departments of Uruguay]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPopulousRelativeTo Context triple: [Canelones Department, isPopulousRelativeTo, other departments of Uruguay]
-
A.
isPopulousRegionOf
Indicates that a region has a large population and is located within or associated with a specified larger area or entity.
-
B.
relativePopulation
chosen
Indicates the comparative size of one population relative to another, typically expressing how large, small, or proportionate it is.
-
C.
hasRelativeProminenceComparedTo
Indicates that one entity has a greater, lesser, or otherwise specified level of prominence or importance when compared to another entity.
-
D.
isDenselyPopulated
Indicates that a place has a high concentration of inhabitants relative to its area.
-
E.
isPopulatedPlace
Indicates that the subject is a geographic location where people live or have lived, such as a city, town, village, or settlement.
- 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_69f0ef836ac88190bd809dc58b5ec907 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f66db6925481909220a05cf31fb741 |
completed | May 2, 2026, 9:33 p.m. |
| PD | Predicate disambiguation | batch_69f6659d36208190b01412600a4ed57d |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 6:17 p.m.