Triple
T9847746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Arkansas River |
E239384
|
entity |
| Predicate | hasWaterQualityConcerns |
P25191
|
FINISHED |
| Object | nonpoint source pollution from agriculture |
—
|
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: nonpoint source pollution from agriculture | Statement: [Little Arkansas River, hasWaterQualityConcerns, nonpoint source pollution from agriculture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWaterQualityConcerns Context triple: [Little Arkansas River, hasWaterQualityConcerns, nonpoint source pollution from agriculture]
-
A.
waterQualityIssues
chosen
Indicates that there are problems or concerns with the condition, safety, or suitability of a water source.
-
B.
hasWaterQualityImportance
Indicates that something plays a significant role in determining, influencing, or assessing the quality of water.
-
C.
hasWaterQualityHistory
Indicates that an entity is associated with a record or series of records describing changes or measurements of its water quality over time.
-
D.
hasWaterManagementIssue
Indicates that an entity experiences problems or challenges related to the control, distribution, quality, or availability of water.
-
E.
waterQualityUse
Indicates the way in which water quality is evaluated, classified, or applied for specific purposes or uses.
- 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_69ca84e4fdc08190a624425bcef98665 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb362d81081908f41cc25baca5fda |
completed | April 2, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69cd03e57cac8190914bb5ae608a6e0e |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:34 p.m.