Triple
T9597794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paraíba do Sul River |
E231774
|
entity |
| Predicate | waterTransfer |
P14199
|
FINISHED |
| Object | diversion to Guandu River system |
—
|
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: diversion to Guandu River system | Statement: [Paraíba do Sul River, waterTransfer, diversion to Guandu River system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterTransfer Context triple: [Paraíba do Sul River, waterTransfer, diversion to Guandu River system]
-
A.
transportsWaterTo
chosen
Indicates that one entity carries or conveys water from its location or source to another entity or destination.
-
B.
transportsWaterFrom
Indicates that one entity carries or conveys water from a specified source entity to another location or entity.
-
C.
waterExchangeThrough
Indicates a relationship where water is transferred or shared between entities through a specific medium, pathway, or mechanism.
-
D.
waterFilled
Indicates that one entity is filled or occupied with water, typically to a certain level or capacity.
-
E.
waterBoard
Indicates subjecting someone to a form of torture that simulates drowning by pouring water over a cloth covering their face.
- 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_69ca8484838c8190b2049199d22fef70 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9a366d3481908db62e476958eafe |
completed | April 1, 2026, 10:20 p.m. |
| PD | Predicate disambiguation | batch_69ccd5a359788190b24f82399489f7fe |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:07 p.m.