Triple
T36950091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matanza River |
E914035
|
entity |
| Predicate | drainageBasinPopulation |
P11015
|
FINISHED |
| Object | millions of inhabitants |
—
|
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: millions of inhabitants | Statement: [Matanza River, drainageBasinPopulation, millions of inhabitants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: drainageBasinPopulation Context triple: [Matanza River, drainageBasinPopulation, millions of inhabitants]
-
A.
hasBasinPopulation
chosen
Indicates that a geographic basin is associated with a specific number of inhabitants living within its area.
-
B.
drainageBasinArea
Indicates the total surface area of land from which precipitation and runoff drain into a particular water body or watershed.
-
C.
basinPopulationActivity
Indicates the level or type of human activity occurring within the population of a drainage basin or watershed area.
-
D.
drainageBasin
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.
-
E.
basinSizeRanking
Indicates the relative position of a basin in an ordered list based on its size compared to other basins.
- 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_69f76e8b28848190abd81fe7a7374910 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fa0a7b00948190a257273d9968c5d7 |
completed | May 5, 2026, 3:19 p.m. |
| PD | Predicate disambiguation | batch_69f9fec9c9488190ae2a349651a02782 |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 3, 2026, 4:13 p.m.