Triple
T32490880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Washington State Department of Ecology Toxics Cleanup Program |
E830380
|
entity |
| Predicate | typeOfCleanup |
P202209
|
FINISHED |
| Object | voluntary cleanup oversight |
—
|
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: voluntary cleanup oversight | Statement: [Washington State Department of Ecology Toxics Cleanup Program, typeOfCleanup, voluntary cleanup oversight]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfCleanup Context triple: [Washington State Department of Ecology Toxics Cleanup Program, typeOfCleanup, voluntary cleanup oversight]
-
A.
cleanupOutcome
Indicates the result or status produced by a cleanup action or process.
-
B.
cleanupOperation
Indicates an action where an entity removes, resets, or tidies up residual data, resources, or state after a process or event has completed.
-
C.
typeOfDestruction
Indicates the specific manner or method by which something is destroyed or caused to cease to exist.
-
D.
typeOfElimination
Indicates the specific method or process by which something is removed, discarded, or ruled out from consideration.
-
E.
typeOfFailure
Indicates the specific kind or category of failure that occurred in relation to an entity or process.
- F. None of above. chosen
Provenance (4 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_69f34920aa4081908d8fb0277414b911 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a0062e6bd788190a7b4f3e5befb5cbb |
completed | May 10, 2026, 10:50 a.m. |
| PD | Predicate disambiguation | batch_6a0061989d188190b4815b2de3e8676f |
completed | May 10, 2026, 10:44 a.m. |
| PDg | Predicate description generation | batch_6a0062e60b648190b59ea90cb7918b9a |
completed | May 10, 2026, 10:50 a.m. |
Created at: May 1, 2026, 12:59 a.m.