Triple
T5047620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tapajós River |
E113704
|
entity |
| Predicate | waterSedimentLoad |
P5000
|
FINISHED |
| Object | low |
—
|
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: low | Statement: [Tapajós River, waterSedimentLoad, low]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterSedimentLoad Context triple: [Tapajós River, waterSedimentLoad, low]
-
A.
hasSedimentLoad
chosen
Indicates that one entity (typically a water body or flow) carries or transports a certain amount or type of sediment associated with another entity.
-
B.
sedimentSource
Indicates that one entity serves as the origin or provider of sediment that is transported to or deposited in another entity.
-
C.
surfaceWater
Indicates that one entity consists of or contains surface-level water associated with another entity.
-
D.
hasSedimentsThat
Indicates that one entity contains, includes, or is associated with specific sediments described by the related entity.
-
E.
typeOfSedimentation
Indicates the specific kind or process of sediment deposition or settling that characterizes how sediment accumulates in a given context.
- 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_69bd44391fc48190a311ce9c826c209b |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd740002b48190bc7aa176d734c589 |
completed | March 20, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69bd715479f08190933604aebd34414f |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:37 p.m.