Triple
T15409436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elk River |
E368544
|
entity |
| Predicate | pollutionIncident |
P33268
|
FINISHED |
| Object | 2014 4-methylcyclohexanemethanol spill near Charleston |
—
|
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: 2014 4-methylcyclohexanemethanol spill near Charleston | Statement: [Elk River, pollutionIncident, 2014 4-methylcyclohexanemethanol spill near Charleston]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pollutionIncident Context triple: [Elk River, pollutionIncident, 2014 4-methylcyclohexanemethanol spill near Charleston]
-
A.
pollutionSource
Indicates that one entity is the origin or cause of pollution affecting another entity or environment.
-
B.
environmentalEvent
chosen
Indicates an occurrence or phenomenon related to the natural environment, such as climatic, ecological, or geophysical changes or incidents.
-
C.
targetPollutant
Indicates that something is the specific pollutant that is being aimed at, affected, or addressed by an action, process, or regulation.
-
D.
incidentWith
Indicates that one entity is involved in, affected by, or associated with a particular incident or event together with another entity.
-
E.
hasPollutionIssue
Indicates that an entity is affected by, associated with, or characterized by a pollution-related problem or concern.
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03ea4f13c819085d26fd32b5dca6f |
completed | April 16, 2026, 1:43 a.m. |
| PD | Predicate disambiguation | batch_69ded27b8cac8190bfa77698d53c5d1c |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:20 a.m.