Triple
T1020621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mariel boatlift |
E22031
|
entity |
| Predicate | portOfDeparture |
P1521
|
FINISHED |
| Object |
Mariel
Mariel is a Cuban port city best known as the departure point for the 1980 Mariel boatlift, during which thousands of Cubans emigrated to the United States.
|
E123214
|
NE FINISHED |
How this triple was built (4 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: Mariel | Statement: [Mariel boatlift, portOfDeparture, Mariel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mariel Context triple: [Mariel boatlift, portOfDeparture, Mariel]
-
A.
Somosta
Somosta is a town located within Egypt's Beni Suef Governorate, known as one of the local urban centers in this Upper Egyptian region.
-
B.
Toa Baja
Toa Baja is a coastal municipality in northern Puerto Rico, known for its proximity to San Juan and its mix of urban, industrial, and residential areas.
-
C.
Rosario
Rosario is a major Argentine port city and industrial center located in the province of Santa Fe.
-
D.
Colma
Colma is a small town in San Mateo County, California, best known for its numerous cemeteries and nickname as the "City of Souls."
-
E.
Colonia Tránsito
Colonia Tránsito is a neighborhood in central Mexico City located within the Cuauhtémoc borough, known for its urban residential character and proximity to the historic downtown area.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mariel Triple: [Mariel boatlift, portOfDeparture, Mariel]
Generated description
Mariel is a Cuban port city best known as the departure point for the 1980 Mariel boatlift, during which thousands of Cubans emigrated to the United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mariel Target entity description: Mariel is a Cuban port city best known as the departure point for the 1980 Mariel boatlift, during which thousands of Cubans emigrated to the United States.
-
A.
Somosta
Somosta is a town located within Egypt's Beni Suef Governorate, known as one of the local urban centers in this Upper Egyptian region.
-
B.
Toa Baja
Toa Baja is a coastal municipality in northern Puerto Rico, known for its proximity to San Juan and its mix of urban, industrial, and residential areas.
-
C.
Rosario
Rosario is a major Argentine port city and industrial center located in the province of Santa Fe.
-
D.
Colma
Colma is a small town in San Mateo County, California, best known for its numerous cemeteries and nickname as the "City of Souls."
-
E.
Colonia Tránsito
Colonia Tránsito is a neighborhood in central Mexico City located within the Cuauhtémoc borough, known for its urban residential character and proximity to the historic downtown area.
- F. None of above. chosen
Provenance (5 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_69a493d6e380819097b384986ffc315c |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7dd76b081909ed4d2f7adb6480d |
completed | March 1, 2026, 10:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac4292482c81909bf39cd0bb288599 |
completed | March 7, 2026, 3:21 p.m. |
| NEDg | Description generation | batch_69ac4340c7f88190a5fe3dc830bb6df0 |
completed | March 7, 2026, 3:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac43b393748190a5fa81b7ab7fa911 |
completed | March 7, 2026, 3:26 p.m. |
Created at: March 1, 2026, 7:41 p.m.