Triple
T12012081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Andrés and Providencia Department |
E285925
|
entity |
| Predicate | distanceFromCentralAmerica |
P102659
|
FINISHED |
| Object | closer to Nicaragua than to mainland Colombia |
—
|
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: closer to Nicaragua than to mainland Colombia | Statement: [San Andrés and Providencia Department, distanceFromCentralAmerica, closer to Nicaragua than to mainland Colombia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromCentralAmerica Context triple: [San Andrés and Providencia Department, distanceFromCentralAmerica, closer to Nicaragua than to mainland Colombia]
-
A.
distanceToSouthAmerica
Indicates the spatial distance between a given entity’s location and the continent of South America.
-
B.
distanceFromManagua
Indicates the spatial distance between a given entity and the location of Managua.
-
C.
distanceFromTegucigalpa
Indicates the spatial distance between a given location and the city of Tegucigalpa.
-
D.
distanceToJamaica
Indicates the measured or calculated distance between a given entity and the location Jamaica.
-
E.
distanceToHaiti
Indicates the measured or calculated spatial distance between a given entity or location and the country of Haiti.
- F. None of above. chosen
Provenance (4 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903d7777481908cd5a001f75e2ee3 |
completed | April 10, 2026, 2:06 p.m. |
| PD | Predicate disambiguation | batch_69d902b245cc8190af96a9c2bd9c6250 |
completed | April 10, 2026, 2:01 p.m. |
| PDg | Predicate description generation | batch_69d9038e39f881908c58c19802ba2eb0 |
completed | April 10, 2026, 2:05 p.m. |
Created at: April 8, 2026, 9:46 p.m.