Triple
T27073281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los Patios |
E685385
|
entity |
| Predicate | hasCapitalOfDepartmentNearby |
P108974
|
FINISHED |
| Object | Cúcuta |
—
|
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: Cúcuta | Statement: [Los Patios, hasCapitalOfDepartmentNearby, Cúcuta]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCapitalOfDepartmentNearby Context triple: [Los Patios, hasCapitalOfDepartmentNearby, Cúcuta]
-
A.
hasDepartmentCapitalNearby
chosen
Indicates that the subject entity has a departmental capital city located in close geographical proximity to it.
-
B.
hasDepartmentCapital
Indicates that a department has a specific city designated as its capital.
-
C.
isNearCapitalCity
Indicates that an entity is located close to, or in the immediate vicinity of, a capital city.
-
D.
distanceToDepartmentCapital
Indicates the measured distance between a given location and the capital city of its corresponding department.
-
E.
capitalOfDepartment
Indicates that a city or town serves as the administrative capital of a specified department (an administrative division).
- 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_69ef14843b1481909d828b3d5a44550a |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f7675b12848190a3569cfda29c5b0e |
completed | May 3, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69f762f4b59481909f70074f11825bfb |
completed | May 3, 2026, 3 p.m. |
Created at: April 27, 2026, 8:29 a.m.