Triple
T32906192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guacheneque Páramo |
E841744
|
entity |
| Predicate | nearbyHydrographicBasin |
P173221
|
FINISHED |
| Object | Upper Bogotá River basin |
—
|
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: Upper Bogotá River basin | Statement: [Guacheneque Páramo, nearbyHydrographicBasin, Upper Bogotá River basin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearbyHydrographicBasin Context triple: [Guacheneque Páramo, nearbyHydrographicBasin, Upper Bogotá River basin]
-
A.
nearbyBasin
Indicates that one basin is located close to another basin in space.
-
B.
isLocatedNearBasin
chosen
Indicates that one entity is situated close to or in the immediate vicinity of a basin.
-
C.
basinFor
Indicates that something serves as a basin or receptacle specifically intended for collecting, holding, or draining another entity.
-
D.
nearbyRiverProject
Indicates that there is a project located close to or associated with a nearby river.
-
E.
riverTypeNearby
Indicates that one entity is located near a river of a specified type or classification.
- 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_69f34946a5208190bbd79f0fec4323bd |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fde49a084081909d99b1e0258169d5 |
completed | May 8, 2026, 1:26 p.m. |
| PD | Predicate disambiguation | batch_69fde1d04bd881909a46ecbbf18dfe59 |
completed | May 8, 2026, 1:14 p.m. |
Created at: May 1, 2026, 1:19 a.m.