Triple
T26938204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slovenian statistical regions |
E678441
|
entity |
| Predicate | smallestRegionByPopulation |
P161338
|
FINISHED |
| Object | Central Sava Statistical Region |
—
|
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: Central Sava Statistical Region | Statement: [Slovenian statistical regions, smallestRegionByPopulation, Central Sava Statistical Region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: smallestRegionByPopulation Context triple: [Slovenian statistical regions, smallestRegionByPopulation, Central Sava Statistical Region]
-
A.
isLessPopulousThan
Indicates that one entity has a smaller population size than another entity.
-
B.
populationRegion
Indicates that a specified population is located within or associated with a particular geographic region.
-
C.
isMostPopulousRegionOf
Indicates that a region has the largest population among all regions within the specified larger area or entity.
-
D.
largestRegionByAreaIn
Indicates that one region is the largest by geographic area among all regions within a specified containing area.
-
E.
isSmallestByAreaIn
Indicates that an entity has the smallest area among all comparable entities within a specified set, group, or context.
- 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_69eeeb4d69588190a7c912164a1c37b3 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f62050af2481909ce5687b36c4aabc |
completed | May 2, 2026, 4:03 p.m. |
| PD | Predicate disambiguation | batch_69f611af72ac819094598dd2530d7411 |
completed | May 2, 2026, 3:01 p.m. |
| PDg | Predicate description generation | batch_69f6125e54e0819088ee33a20efcc9e6 |
completed | May 2, 2026, 3:03 p.m. |
Created at: April 27, 2026, 6:17 a.m.