Triple
T34895810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SKMU |
E1006430
|
entity |
| Predicate | servesDepartmentCapital |
P17624
|
FINISHED |
| Object | Mitú |
—
|
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: Mitú | Statement: [SKMU, servesDepartmentCapital, Mitú]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesDepartmentCapital Context triple: [SKMU, servesDepartmentCapital, Mitú]
-
A.
hasDepartmentCapital
Indicates that a department has a specific city designated as its capital.
-
B.
capitalOfDepartment
chosen
Indicates that a city or town serves as the administrative capital of a specified department (an administrative division).
-
C.
isDistrictCapitalOf
Indicates that a location serves as the administrative or governmental capital of a specified district.
-
D.
hasCountryCapitalOfDepartment
Indicates that a specific country serves as the capital or primary governing nation associated with a particular department.
-
E.
servesProvinceCapital
Indicates that a city functions as the administrative or service center for a given province’s capital.
- 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_69f76dbfe5788190ad8b64f241f470c8 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ffe01c9d3c819084c256bb3c81c0dc |
completed | May 10, 2026, 1:32 a.m. |
| PD | Predicate disambiguation | batch_69ffdfcc78b08190aa4493f13d62a531 |
completed | May 10, 2026, 1:30 a.m. |
Created at: May 3, 2026, 4 p.m.