Triple
T18039659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Francisco River basin |
E431610
|
entity |
| Predicate | channelsWaterThrough |
P27579
|
FINISHED |
| Object | central Bogotá |
—
|
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: central Bogotá | Statement: [San Francisco River basin, channelsWaterThrough, central Bogotá]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: channelsWaterThrough Context triple: [San Francisco River basin, channelsWaterThrough, central Bogotá]
-
A.
hasWaterChannel
Indicates that one entity possesses or contains a channel or conduit through which water flows or is transported.
-
B.
waterExchangeThrough
Indicates a relationship where water is transferred or shared between entities through a specific medium, pathway, or mechanism.
-
C.
waterFlowRate
Indicates the rate at which water moves or is transported through a given point or system over time.
-
D.
waterwayThrough
chosen
Indicates that a waterway (such as a river or canal) passes through or traverses a specified geographic area or feature.
-
E.
waterDivertedThrough
Indicates that the flow of water is intentionally redirected from its original course to pass through a specified structure, channel, or location.
- 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_69d8b9050fb48190890155145deb0a66 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4bfece6448190b4ba96075715bcef |
completed | April 19, 2026, 11:43 a.m. |
| PD | Predicate disambiguation | batch_69e3f908da508190a088aa837ea5b7af |
completed | April 18, 2026, 9:35 p.m. |
Created at: April 10, 2026, 10:25 a.m.