Triple
T5097574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Occaneechi people |
E114903
|
entity |
| Predicate | causeOfDemographicChange |
P3838
|
FINISHED |
| Object | epidemic diseases |
—
|
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: epidemic diseases | Statement: [Occaneechi people, causeOfDemographicChange, epidemic diseases]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causeOfDemographicChange Context triple: [Occaneechi people, causeOfDemographicChange, epidemic diseases]
-
A.
demographicImpact
chosen
Indicates how an action, event, or condition affects the size, structure, or composition of a population.
-
B.
demographicChallenge
Indicates a situation where population trends (such as aging, low birth rates, or migration patterns) create significant social, economic, or policy pressures that must be addressed.
-
C.
demographics
Indicates the relationship of providing or characterizing statistical information about a population’s attributes, such as age, gender, income, or education.
-
D.
demographicBasis
Indicates that something is determined, classified, or justified based on demographic characteristics such as age, gender, ethnicity, or similar population attributes.
-
E.
historicalPopulationMovement
Indicates the movement or migration of a population from one place to another during a specific historical period or event.
- 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_69bd443fc49c819089629c00e311310c |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd75669afc81908a8db897fe56eccd |
completed | March 20, 2026, 4:27 p.m. |
| PD | Predicate disambiguation | batch_69bd715e06808190931934dc9930f997 |
completed | March 20, 2026, 4:10 p.m. |
Created at: March 20, 2026, 1:40 p.m.