Triple
T13012580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maquoketa River |
E322456
|
entity |
| Predicate | drainageBasinCharacter |
P25274
|
FINISHED |
| Object | largely rural |
—
|
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: largely rural | Statement: [Maquoketa River, drainageBasinCharacter, largely rural]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: drainageBasinCharacter Context triple: [Maquoketa River, drainageBasinCharacter, largely rural]
-
A.
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.
-
B.
basinFeature
Indicates that one entity is a physical feature or component located within or forming part of a basin.
-
C.
hydrologicalCharacteristic
chosen
Indicates a relationship where a hydrological feature or condition (such as water flow, level, or behavior) characterizes or describes another entity.
-
D.
drainageAreaFeature
Indicates the geographic feature or area from which water drains into a particular water body or drainage system.
-
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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97ecbb8f4819094d55eb07cb5ad97 |
completed | April 10, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69d97dc153a081909d13a694993f074a |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 8:49 p.m.