Triple
T28104432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eje Cafetero |
E710323
|
entity |
| Predicate | mainDepartments |
P118372
|
FINISHED |
| Object | Risaralda |
—
|
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: Risaralda | Statement: [Eje Cafetero, mainDepartments, Risaralda]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainDepartments Context triple: [Eje Cafetero, mainDepartments, Risaralda]
-
A.
commonDepartments
Indicates that two or more entities share one or more of the same departments in common.
-
B.
laterDepartment
Indicates that one department occurs or is considered after another in a defined ordering or sequence.
-
C.
departmentType
Indicates the classification or category of a department, specifying what kind of department it is.
-
D.
propDepartment
chosen
Indicates that one entity functions as a department or organizational subdivision associated with another entity.
-
E.
motherDepartment
Indicates that one department is the parent or higher-level organizational unit of another department.
- 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_69ef9b71fdb081908b4a61cd7ff147c1 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f643ed0b7481908cf25f3afec0a61d |
completed | May 2, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69f641def1e88190a05bf865ced78b23 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 27, 2026, 9:07 p.m.