Triple
T30198792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liberian diaspora |
E767707
|
entity |
| Predicate | migrationPeakPeriod |
P45991
|
FINISHED |
| Object | late 20th century |
—
|
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: late 20th century | Statement: [Liberian diaspora, migrationPeakPeriod, late 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: migrationPeakPeriod Context triple: [Liberian diaspora, migrationPeakPeriod, late 20th century]
-
A.
populationPeakPeriod
Indicates the time period during which a population reached its highest recorded level.
-
B.
deploymentPeakNumber
Indicates the maximum number of deployments (or deployment instances) reached during a specified period or under given conditions.
-
C.
migrationIncreasePeriod
chosen
Indicates a time span during which the level or rate of migration rises compared to a preceding period.
-
D.
migrationTiming
Indicates the temporal characteristics or schedule of when a migration event occurs or is expected to occur.
-
E.
peakArribadaPeriod
Indicates the time period during which arribada activity reaches its highest intensity or frequency.
- 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_69f2247db1108190835c0727c97637c3 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67fc333508190b65ece66b1b573f7 |
completed | May 2, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69f6760216108190bbb708d53a6c2c25 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 29, 2026, 7:30 p.m.