Triple
T28861438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Connecticut congressional delegation |
E728873
|
entity |
| Predicate | senateClassRepresented |
P35716
|
FINISHED |
| Object | Class I |
—
|
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 I | Statement: [Connecticut congressional delegation, senateClassRepresented, Class I]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: senateClassRepresented Context triple: [Connecticut congressional delegation, senateClassRepresented, Class I]
-
A.
representedInSenate
Indicates that an entity serves as a representative for another entity within a senate or upper legislative chamber.
-
B.
isPartOfSenateClassSystem
chosen
Indicates that an entity belongs to or is categorized within a specific class or grouping of the Senate class system.
-
C.
senateClassDistribution
Indicates how seats or members are allocated among the different classes of a senate (e.g., Class I, II, III) within a given context.
-
D.
wasARepresentativeFor
Indicates that one entity served as an official representative or delegate acting on behalf of another entity.
-
E.
representedInCongressBy
Indicates that one entity serves as the official congressional representative (e.g., legislator) for another entity (such as a person, group, or geographic area).
- 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_69f031a01cbc8190ba87270bb6fe4639 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f65a16a9f081909d49ada3b1726887 |
completed | May 2, 2026, 8:09 p.m. |
| PD | Predicate disambiguation | batch_69f65762b5e481908a30ca963dcba4be |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 6:47 a.m.