Triple
T346267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haitian Americans |
E6948
|
entity |
| Predicate | notableMigrationEvent |
P8501
|
FINISHED |
| Object | 1980 Mariel and Haitian boatlift era |
—
|
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: 1980 Mariel and Haitian boatlift era | Statement: [Haitian Americans, notableMigrationEvent, 1980 Mariel and Haitian boatlift era]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableMigrationEvent Context triple: [Haitian Americans, notableMigrationEvent, 1980 Mariel and Haitian boatlift era]
-
A.
notableEventDate
Indicates the date on which a notable or significant event associated with the subject occurred.
-
B.
migrationEvent
chosen
Indicates an event in which one or more entities move or relocate from one place or context to another, typically across defined boundaries or regions.
-
C.
significantEvent
Indicates that an event involving the entities is of notable importance or impact within a given context.
-
D.
notableDuring
Indicates that something was especially prominent, active, or significant during a particular time period or event.
-
E.
notableReform
Indicates that an entity is recognized for having initiated, led, or been central to a significant reform or transformative change in a system, policy, or institution.
- 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_69a2e7951ba08190960e90823b5078f3 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eb0240e88190bc70784772f5fa30 |
completed | Feb. 28, 2026, 1:17 p.m. |
| PD | Predicate disambiguation | batch_69a2e95451a4819090f4e4fb9b21a493 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.