Triple
T18515511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Municipality of Kordelio-Evosmos |
E452450
|
entity |
| Predicate | denselyPopulated |
P20594
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Municipality of Kordelio-Evosmos, denselyPopulated, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: denselyPopulated Context triple: [Municipality of Kordelio-Evosmos, denselyPopulated, true]
-
A.
isDenselyPopulated
chosen
Indicates that a place has a high concentration of inhabitants relative to its area.
-
B.
hasPopulationConcentrationIn
Indicates that a population is densely or significantly clustered within a specified geographic area or region.
-
C.
hasHigherPopulationDensityThan
Indicates that the first entity has a greater number of inhabitants per unit area than the second entity.
-
D.
populationConcentration
Indicates the degree to which a population is densely gathered or distributed within a specific area or region.
-
E.
isOneOfMostDenselyPopulatedAreasIn
Indicates that an area ranks among the locations with the highest population density within a specified region or context.
- 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_69d8d386df84819092355ebb260d848e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5338a628c81909db08ae7dc94f59a |
completed | April 19, 2026, 7:56 p.m. |
| PD | Predicate disambiguation | batch_69e469e0025c81908f16ed4f922674af |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:36 a.m.