Triple
T28178777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rio Doce |
E715966
|
entity |
| Predicate | drainageBasinName |
P1559
|
FINISHED |
| Object | Rio Doce 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: Rio Doce basin | Statement: [Rio Doce, drainageBasinName, Rio Doce basin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: drainageBasinName Context triple: [Rio Doce, drainageBasinName, Rio Doce basin]
-
A.
drainageBasin
chosen
Indicates the area of land where all precipitation and surface water flow are collected and drained toward a particular river, lake, or other water body.
-
B.
watershedName
Indicates the name assigned to the watershed with which an entity is associated.
-
C.
hydronymOf
Indicates that one term is the name of a body of water associated with another geographic entity (e.g., a river, lake, or sea named after a place or feature).
-
D.
oceanDrainageBasin
Indicates the ocean into which a river system or drainage basin ultimately discharges its water.
-
E.
drainageBasinArea
Indicates the total surface area of land from which precipitation and runoff drain into a particular water body or watershed.
- 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_69efd6b4fc5c81909dd88f01a8c2b35d |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651a931748190a637e631a52bbfaa |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 27, 2026, 10:18 p.m.