Triple
T26326427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Almeida |
E662264
|
entity |
| Predicate | departmentOfColombia |
P99296
|
FINISHED |
| Object | Boyacá Department |
—
|
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: Boyacá Department | Statement: [Almeida, departmentOfColombia, Boyacá Department]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: departmentOfColombia Context triple: [Almeida, departmentOfColombia, Boyacá Department]
-
A.
mainColombianDepartment
chosen
Indicates that one entity is the primary administrative department (region) associated with another entity within Colombia.
-
B.
positionInColombia
Indicates that one entity occupies or is located at a specific position within the geographic boundaries of Colombia.
-
C.
capitalOfDepartment
Indicates that a city or town serves as the administrative capital of a specified department (an administrative division).
-
D.
geographicDirectionFromDepartmentCapital
Indicates that one location lies in a specified geographic direction relative to the capital city of a given administrative department.
-
E.
majorDepartmentInGuatemala
Indicates that an entity is a primary or most significant department within the country of Guatemala.
- 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_69ee812f32748190871d970c4e2a8ddf |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f60f2fec2c8190a0271e3256f22be6 |
completed | May 2, 2026, 2:50 p.m. |
| PD | Predicate disambiguation | batch_69f5f7ff548c8190a23e98c5e66e0bc7 |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 10:31 p.m.