Triple
T19588742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | north-central Venezuela |
E470172
|
entity |
| Predicate | majorCity |
P316
|
FINISHED |
| Object | Guarenas |
—
|
NE NERFINISHED |
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: Guarenas | Statement: [north-central Venezuela, majorCity, Guarenas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guarenas Context triple: [north-central Venezuela, majorCity, Guarenas]
-
A.
Guarenas
chosen
Guarenas is a city in the Miranda state of Venezuela, known as part of the Guarenas-Guatire metropolitan area near Caracas.
-
B.
Gualé
Gualé refers to the Guale people, a Native American group that historically inhabited the coastal regions of what is now Georgia and northeastern Florida.
-
C.
Ciudad Darío
Ciudad Darío is a Nicaraguan town best known as the birthplace of the influential modernist poet Rubén Darío.
-
D.
Placencia
Placencia is a popular beach village and tourist destination on the Caribbean coast of southern Belize, known for its sandy peninsula, laid-back atmosphere, and access to nearby reefs and cayes.
-
E.
Sibaté
Sibaté is a municipality in central Colombia known for its agricultural production and proximity to Bogotá within the Cundinamarca Department.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e64054299481908d83c85cefdab075 |
completed | April 20, 2026, 3:03 p.m. |
Created at: April 10, 2026, 1:43 p.m.