Triple
T34508296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KY-01 |
E885947
|
entity |
| Predicate | isAbbreviatedDesignationFor |
P45686
|
FINISHED |
| Object | Kentucky's 1st congressional district |
—
|
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: Kentucky's 1st congressional district | Statement: [KY-01, isAbbreviatedDesignationFor, Kentucky's 1st congressional district]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isAbbreviatedDesignationFor Context triple: [KY-01, isAbbreviatedDesignationFor, Kentucky's 1st congressional district]
-
A.
isAbbreviation
chosen
Indicates that one term is a shortened or abbreviated form of another term.
-
B.
alternateDesignation
Indicates that one entity serves as an alternative name, label, or identifier for another entity.
-
C.
alternativeAbbreviation
Indicates that one term serves as an alternative shortened form or acronym for another term.
-
D.
hasInternalDesignationFor
Indicates that one entity assigns or uses an internal label, code, or designation to refer to another entity.
-
E.
isCommonAbbreviation
Indicates that one term is a widely used shortened or abbreviated form of another term.
- 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_69f349cc0220819081f154c6964f4dc2 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71fb1ab3881908e2f7c0e6f23db49 |
completed | May 3, 2026, 10:13 a.m. |
| PD | Predicate disambiguation | batch_69f71cc6397881909aaad37a9daa8a7e |
completed | May 3, 2026, 10 a.m. |
Created at: May 1, 2026, 2:01 a.m.