Triple
T21089793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeff Sessions |
E519605
|
entity |
| Predicate | representedInSenateClass |
P35716
|
FINISHED |
| Object | Class 2 |
—
|
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 2 | Statement: [Jeff Sessions, representedInSenateClass, Class 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representedInSenateClass Context triple: [Jeff Sessions, representedInSenateClass, Class 2]
-
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.
senateMembership
Indicates that an entity holds or has held a position as a member of a senate.
-
D.
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.
-
E.
hasSenateSeatsSince
Indicates that an entity has held a specified number of seats in a senate starting from a particular point in time.
- 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_69e0b507dd9081908fb8bfcbef4c8b46 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7094dd65481909391ed74115afc23 |
completed | April 21, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69e5dbfcd5e881908f1e4e0d2d237856 |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 2:50 p.m.