Triple
T34636803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colombia–United States relations |
E889448
|
entity |
| Predicate | UnitedStatesConsulateLocationInColombia |
P95045
|
FINISHED |
| Object | Barranquilla |
—
|
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: Barranquilla | Statement: [Colombia–United States relations, UnitedStatesConsulateLocationInColombia, Barranquilla]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: UnitedStatesConsulateLocationInColombia Context triple: [Colombia–United States relations, UnitedStatesConsulateLocationInColombia, Barranquilla]
-
A.
ColombianEmbassyLocationInUnitedStates
Indicates the location of a Colombian embassy within the territory of the United States.
-
B.
positionInColombia
Indicates that one entity occupies or is located at a specific position within the geographic boundaries of Colombia.
-
C.
hasConsulateOfUnitedStatesIn
chosen
Indicates that a consulate of the United States is located in the specified place.
-
D.
ColombianExportToUnitedStates
Indicates that something originating from Colombia is exported or sent to the United States.
-
E.
embassyOfUnitedStatesLocation
Indicates the geographic location where a particular United States embassy is situated.
- 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_69f349d724848190b63ad3407e0006d9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f728a345488190bd7e6751b09ac591 |
completed | May 3, 2026, 10:51 a.m. |
| PD | Predicate disambiguation | batch_69f7283ef2608190a7a85d7e7f5332c0 |
completed | May 3, 2026, 10:49 a.m. |
Created at: May 1, 2026, 2:04 a.m.