Triple
T26352715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kemper County, Mississippi |
E662943
|
entity |
| Predicate | hasSmallPopulationCenters |
P109384
|
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: [Kemper County, Mississippi, hasSmallPopulationCenters, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSmallPopulationCenters Context triple: [Kemper County, Mississippi, hasSmallPopulationCenters, true]
-
A.
hasVerySmallResidentPopulation
Indicates that the subject location has a resident population that is extremely small in size.
-
B.
hasSmallCommunities
chosen
Indicates that an entity possesses or is characterized by the presence of relatively small communities within it.
-
C.
hasLowPopulationDensity
Indicates that the number of individuals or entities per unit area in a given region is relatively small compared to typical or expected levels.
-
D.
hasPopulationConcentrationIn
Indicates that a population is densely or significantly clustered within a specified geographic area or region.
-
E.
hasCentralCities
Indicates that an entity is associated with one or more cities that serve as its primary or central urban locations.
- 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_69ee8130fc44819094e5ab1da201cd7b |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f60fece7d881909ef602630bd8da89 |
completed | May 2, 2026, 2:53 p.m. |
| PD | Predicate disambiguation | batch_69f60b89cc048190a9feb24466006be0 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 26, 2026, 10:46 p.m.