Triple
T15458162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colombian embassies and consulates |
E371826
|
entity |
| Predicate | typicalHeadOfEmbassy |
P3078
|
FINISHED |
| Object | ambassador |
—
|
LITERAL FINISHED |
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: ambassador | Statement: [Colombian embassies and consulates, typicalHeadOfEmbassy, ambassador]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalHeadOfEmbassy Context triple: [Colombian embassies and consulates, typicalHeadOfEmbassy, ambassador]
-
A.
diplomaticRole
Indicates that an entity holds or has held an official diplomatic position or function in relation to another entity or context.
-
B.
seatOfPlenipotentiaryRepresentative
Indicates the location or institution that serves as the official base or office for a plenipotentiary representative.
-
C.
typeOfDiplomaticRole
chosen
Indicates the specific kind or category of diplomatic position or function that an entity holds in relation to another.
-
D.
countryOfHeadOfMission
Indicates the country in which a given head of mission (such as an ambassador or diplomatic representative) serves.
-
E.
diplomaticMissionType
Indicates the specific category or nature of a diplomatic mission that characterizes the relationship between the sending and receiving entities.
- 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_69d85cc8bd308190886949510b42e764 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f1623f0819086f6fc2bfd536609 |
completed | April 16, 2026, 1:44 a.m. |
| PD | Predicate disambiguation | batch_69ded284bd008190b31c53b4f1cebadd |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:32 a.m.