Triple
T26473942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saravena |
E665974
|
entity |
| Predicate | hasDepartmentCapitalConnection |
P108974
|
FINISHED |
| Object | Arauca (city) |
—
|
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: Arauca (city) | Statement: [Saravena, hasDepartmentCapitalConnection, Arauca (city)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDepartmentCapitalConnection Context triple: [Saravena, hasDepartmentCapitalConnection, Arauca (city)]
-
A.
hasDepartmentCapital
Indicates that a department has a specific city designated as its capital.
-
B.
hasDepartmentCapitalNearby
chosen
Indicates that the subject entity has a departmental capital city located in close geographical proximity to it.
-
C.
hasCountryCapitalOfDepartment
Indicates that a specific country serves as the capital or primary governing nation associated with a particular department.
-
D.
hasCountryCapitalConnection
Indicates a relationship in which a specific country is associated with its official capital city.
-
E.
regionCapitalConnected
Indicates that a capital city is directly connected (e.g., by transport or infrastructure) to its surrounding region.
- 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_69ee883f80dc819090e311b022b78e02 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f71422adac8190a5ceb32dcf820833 |
completed | May 3, 2026, 9:23 a.m. |
| PD | Predicate disambiguation | batch_69f712764d2c819081b64b27e5de4a13 |
completed | May 3, 2026, 9:16 a.m. |
Created at: April 27, 2026, 12:21 a.m.