Triple
T14850147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York State Superfund Program |
E349204
|
entity |
| Predicate | siteClassExample |
P15047
|
FINISHED |
| Object | Class 1 |
—
|
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: Class 1 | Statement: [New York State Superfund Program, siteClassExample, Class 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: siteClassExample Context triple: [New York State Superfund Program, siteClassExample, Class 1]
-
A.
typeOfSite
chosen
Indicates the specific category or kind of site that an entity is classified as.
-
B.
site
Indicates that one entity is the physical or virtual location where another entity is situated, occurs, or is based.
-
C.
exampleClass
Indicates that the subject belongs to, is categorized under, or serves as an instance of a particular class or type.
-
D.
siteName
Indicates the name or designated title of a particular site or location associated with an entity.
-
E.
siteManager
Indicates that an entity is responsible for managing, overseeing, or administering a particular site or location.
- 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded43eee188190bf24dc475b3abe28 |
completed | April 14, 2026, 11:56 p.m. |
| PD | Predicate disambiguation | batch_69de8c1798c08190b433e9ad21e41a42 |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:54 a.m.