Triple
T12876522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puerto Leguízamo |
E307982
|
entity |
| Predicate | locatedNearBorderRegion |
P46305
|
FINISHED |
| Object | triple‑border area of Colombia, Peru and Ecuador |
—
|
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: triple‑border area of Colombia, Peru and Ecuador | Statement: [Puerto Leguízamo, locatedNearBorderRegion, triple‑border area of Colombia, Peru and Ecuador]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedNearBorderRegion Context triple: [Puerto Leguízamo, locatedNearBorderRegion, triple‑border area of Colombia, Peru and Ecuador]
-
A.
locatedNearStateBorderWith
Indicates that one entity is situated geographically close to the border of a specified state.
-
B.
nearInternationalBoundary
chosen
Indicates that one entity is located close to an international boundary separating two or more countries.
-
C.
borderRegion
Indicates a region that lies along or near the boundary separating two distinct geographic or political areas.
-
D.
borderRegionOf
Indicates that one region lies along, touches, or forms part of the boundary of another region.
-
E.
nearBorderCrossing
Indicates that an entity is located close to a border crossing point between two regions or countries.
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97c7f91d08190aac2f6419d3ba992 |
completed | April 10, 2026, 10:41 p.m. |
| PD | Predicate disambiguation | batch_69d96fa55b888190ab1612e93c41aec4 |
completed | April 10, 2026, 9:46 p.m. |
Created at: April 9, 2026, 5:38 p.m.