Triple
T17722738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Department |
E442381
|
entity |
| Predicate | highestPopulationAmong |
P11012
|
FINISHED |
| Object | departments of Paraguay |
—
|
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: departments of Paraguay | Statement: [Central Department, highestPopulationAmong, departments of Paraguay]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: highestPopulationAmong Context triple: [Central Department, highestPopulationAmong, departments of Paraguay]
-
A.
majorPopulationIn
Indicates that a significant portion of a population is located in or primarily associated with a particular place or region.
-
B.
hasPopulationOver
Indicates that one entity has a population greater than a specified number or than another entity.
-
C.
hasLargestPopulationOn
chosen
Indicates that the subject entity has the greatest population among a specified set of entities within the context or scope defined by the object.
-
D.
majorPopulation
Indicates that an entity serves as the primary or most significant population group associated with another entity (such as a place or organization).
-
E.
majorPopulationCenter
Indicates that a location functions as a primary hub of population concentration and activity within a region.
- 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_69d8b9ec79688190b86bdcef85a7b3aa |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47487b4988190b14237a4e6376e9a |
completed | April 19, 2026, 6:21 a.m. |
| PD | Predicate disambiguation | batch_69e3cde601d4819097903f471f1fe99a |
completed | April 18, 2026, 6:31 p.m. |
Created at: April 10, 2026, 10:07 a.m.