Triple
T19575155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quitman, Missouri |
E489834
|
entity |
| Predicate | hasPopulationDensityLow |
P26438
|
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: [Quitman, Missouri, hasPopulationDensityLow, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPopulationDensityLow Context triple: [Quitman, Missouri, hasPopulationDensityLow, true]
-
A.
hasLowPopulationDensity
chosen
Indicates that the number of individuals or entities per unit area in a given region is relatively small compared to typical or expected levels.
-
B.
isLowland
Indicates that an entity is located in, associated with, or characteristic of lowland areas or low-lying terrain relative to surrounding regions.
-
C.
populationLowPoint
Indicates that the population of an entity has reached its lowest recorded or observed level within a given time frame or context.
-
D.
hasVerySmallResidentPopulation
Indicates that the subject location has a resident population that is extremely small in size.
-
E.
hasPopulationDensity
Indicates the number of individuals (e.g., people, organisms) per unit area associated with a given entity or 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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e64023fe148190900c6887896c8ea0 |
completed | April 20, 2026, 3:03 p.m. |
| PD | Predicate disambiguation | batch_69e514dbdb988190b55931a8138c73e7 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:42 p.m.