Triple
T26913356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huliaipole region |
E677449
|
entity |
| Predicate | demographicTypeHistorical |
P67966
|
FINISHED |
| Object | sparsely urbanized agrarian area |
—
|
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: sparsely urbanized agrarian area | Statement: [Huliaipole region, demographicTypeHistorical, sparsely urbanized agrarian area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: demographicTypeHistorical Context triple: [Huliaipole region, demographicTypeHistorical, sparsely urbanized agrarian area]
-
A.
historicalPopulationCharacteristic
chosen
Indicates a relationship where an entity is associated with a demographic or population-related attribute that held true during a specific historical period.
-
B.
historicalPopulationContext
Indicates the relationship between a population figure and the specific historical period or circumstances in which that population size occurred.
-
C.
demographicHistory
Indicates the historical changes and patterns in the composition, size, or structure of a population over time.
-
D.
religiousCompositionHistorical
Indicates the historical distribution or makeup of religious affiliations within a population or group over time.
-
E.
demographicBasis
Indicates that something is determined, classified, or justified based on demographic characteristics such as age, gender, ethnicity, or similar population attributes.
- 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_69eee9bcef1c8190be88586bb902bb9b |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f61fdc239c81908b7bebeb2d8a8a20 |
completed | May 2, 2026, 4:01 p.m. |
| PD | Predicate disambiguation | batch_69f61b3d23f481908dfec27adace900a |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 6:03 a.m.