Triple
T35260294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Radiation through a Foggy Atmosphere |
E1018350
|
entity |
| Predicate | studiesMedium |
P143446
|
FINISHED |
| Object | fog |
—
|
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: fog | Statement: [Radiation through a Foggy Atmosphere, studiesMedium, fog]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: studiesMedium Context triple: [Radiation through a Foggy Atmosphere, studiesMedium, fog]
-
A.
mediumOfResearch
Indicates that a particular medium (such as a journal, conference, or platform) is the channel through which a research work is published, communicated, or made available.
-
B.
studiesWork
Indicates that one entity engages in academic or systematic study of another entity’s work or output.
-
C.
studiesFeature
chosen
Indicates that an entity conducts research or examination on a particular feature or characteristic of something.
-
D.
alsoStudies
Indicates that an entity engages in studying an additional subject or field alongside another already being studied.
-
E.
mentionedInMedium
Indicates that one entity is referenced, cited, or discussed within a particular medium (such as an article, video, or broadcast).
- 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_69f76de4be5c8190a51705c07612cac8 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78f6ed46c81908fcdaef486e9392b |
completed | May 3, 2026, 6:09 p.m. |
| PD | Predicate disambiguation | batch_69f78e2f52e08190a77661223a96c601 |
completed | May 3, 2026, 6:04 p.m. |
Created at: May 3, 2026, 4:02 p.m.