Triple
T2183527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Afro-Mexicans |
E49099
|
entity |
| Predicate | historicalPeriodOfArrival |
P37714
|
FINISHED |
| Object | 16th 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: 16th century | Statement: [Afro-Mexicans, historicalPeriodOfArrival, 16th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalPeriodOfArrival Context triple: [Afro-Mexicans, historicalPeriodOfArrival, 16th century]
-
A.
yearOfArrivalInNewWorld
Indicates the specific year in which an entity arrived in the New World.
-
B.
historicalMigrationPeriodStart
Indicates the point in time when a particular historical migration period begins.
-
C.
occupationPeriod
Indicates the time span during which an entity holds or held a particular occupation or role.
-
D.
foundedAfterArrivalOf
Indicates that one entity was founded only after the arrival or appearance of another specified entity.
-
E.
historicalEraUsheredIn
Indicates the historical era or period that was initiated or brought about as a result of a particular event, action, or entity.
- F. None of above. chosen
Provenance (4 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_69a88aa72d348190a9544bb5b8a4e71d |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc4358fc88190a6f556c2de9fef8c |
completed | March 7, 2026, 6:22 a.m. |
| PD | Predicate disambiguation | batch_69abbda0ec948190be88c1243d81a423 |
completed | March 7, 2026, 5:54 a.m. |
| PDg | Predicate description generation | batch_69abc434978c8190b9c4dd8411b87f23 |
completed | March 7, 2026, 6:22 a.m. |
Created at: March 4, 2026, 7:45 p.m.