Triple
T22706253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Potosí |
E561459
|
entity |
| Predicate | demographyTrend |
P31774
|
FINISHED |
| Object | population decline after colonial silver boom |
—
|
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: population decline after colonial silver boom | Statement: [Potosí, demographyTrend, population decline after colonial silver boom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: demographyTrend Context triple: [Potosí, demographyTrend, population decline after colonial silver boom]
-
A.
approximatePopulationTrend
chosen
Indicates an estimated or generalized pattern of how a population changes over time (e.g., increasing, decreasing, or stable) rather than an exact count.
-
B.
demographics
Indicates the relationship of providing or characterizing statistical information about a population’s attributes, such as age, gender, income, or education.
-
C.
demographicImpact
Indicates how an action, event, or condition affects the size, structure, or composition of a population.
-
D.
populationIncrease
Indicates that the number of individuals in a population has grown over a specified period of time.
-
E.
populationOutcome
Indicates the resulting state, condition, or effect experienced by a population as a consequence of a specified exposure, intervention, or circumstance.
- 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_69e2454f1348819088d83f420925a5c1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f178ceba6c8190a538366a8e4648de |
completed | April 29, 2026, 3:19 a.m. |
| PD | Predicate disambiguation | batch_69ee62bd657c81909f7b01245b080a5f |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:17 p.m.