Triple
T22010441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New River (Imperial Valley) via Salton Sea |
E543558
|
entity |
| Predicate | containsPollutant |
P24582
|
FINISHED |
| Object | pathogens |
—
|
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: pathogens | Statement: [New River (Imperial Valley) via Salton Sea, containsPollutant, pathogens]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsPollutant Context triple: [New River (Imperial Valley) via Salton Sea, containsPollutant, pathogens]
-
A.
targetPollutant
Indicates that something is the specific pollutant that is being aimed at, affected, or addressed by an action, process, or regulation.
-
B.
pollutant
Indicates that one entity is a substance or factor that contaminates or degrades the quality of another entity or environment.
-
C.
hasPollutionIssue
Indicates that an entity is affected by, associated with, or characterized by a pollution-related problem or concern.
-
D.
containsContaminant
chosen
Indicates that one entity includes, holds, or is tainted by an unwanted or harmful contaminating substance or element.
-
E.
pollutantsCovered
Indicates that certain pollutants are included within the scope, protection, regulation, or consideration defined by a particular entity, policy, or agreement.
- 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_69e11e2db934819095556760c7d85e4d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127a4338c8190836074d21bfbaf78 |
completed | April 28, 2026, 9:33 p.m. |
| PD | Predicate disambiguation | batch_69e6f62dc9d88190ae387f145f9528de |
completed | April 21, 2026, 3:59 a.m. |
Created at: April 16, 2026, 8:22 p.m.