Triple
T32187387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hinkley |
E822142
|
entity |
| Predicate | contaminationSource |
P48801
|
FINISHED |
| Object | Pacific Gas and Electric Company |
—
|
NE NERFINISHED |
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: Pacific Gas and Electric Company | Statement: [Hinkley, contaminationSource, Pacific Gas and Electric Company]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contaminationSource Context triple: [Hinkley, contaminationSource, Pacific Gas and Electric Company]
-
A.
containsContaminant
Indicates that one entity includes, holds, or is tainted by an unwanted or harmful contaminating substance or element.
-
B.
pollutionSource
chosen
Indicates that one entity is the origin or cause of pollution affecting another entity or environment.
-
C.
routeOfExposure
Indicates the pathway or method by which an agent, substance, or factor comes into contact with or enters an organism or system.
-
D.
corruptionSource
Indicates that one entity is the origin or cause of another entity’s corruption, wrongdoing, or moral degradation.
-
E.
infectionMethod
Indicates the way or mechanism by which an infection is transmitted or established from a source to a host.
- 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_69f3490819cc81909bae1f8ce99423c5 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69ffbe9e47688190a2692566dc326646 |
completed | May 9, 2026, 11:09 p.m. |
| PD | Predicate disambiguation | batch_69ffbb7b45388190b62cbde5c2d435cd |
completed | May 9, 2026, 10:55 p.m. |
Created at: May 1, 2026, 12:35 a.m.