Triple
T24529634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2012 United States Senate election in Nebraska |
E606766
|
entity |
| Predicate | classOfSenateSeat |
P35716
|
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: [2012 United States Senate election in Nebraska, classOfSenateSeat, Class 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: classOfSenateSeat Context triple: [2012 United States Senate election in Nebraska, classOfSenateSeat, Class 1]
-
A.
isPartOfSenateClassSystem
chosen
Indicates that an entity belongs to or is categorized within a specific class or grouping of the Senate class system.
-
B.
senateMembership
Indicates that an entity holds or has held a position as a member of a senate.
-
C.
representedInSenate
Indicates that an entity serves as a representative for another entity within a senate or upper legislative chamber.
-
D.
seatOfRepresentative
Indicates the location or institution where a representative officially holds their position or exercises their duties.
-
E.
numberOfSeatsInSenate
Indicates the total count of seats allocated in a given senate.
- 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_69e2c4c90c848190b23c4303620dcaaf |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b0ca8081908d931aec560eae56 |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:25 a.m.