Triple
T15739368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wisconsin Senate districts |
E381560
|
entity |
| Predicate | upperOrLowerHouse |
P240
|
FINISHED |
| Object | upper house |
—
|
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: upper house | Statement: [Wisconsin Senate districts, upperOrLowerHouse, upper house]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: upperOrLowerHouse Context triple: [Wisconsin Senate districts, upperOrLowerHouse, upper house]
-
A.
upperHouse
chosen
Indicates that one entity functions as the higher or upper legislative chamber in relation to a given political or governmental system.
-
B.
upperHouseInvolved
Indicates that the upper legislative chamber (e.g., senate) participates in, influences, or is formally involved in the referenced action, process, or decision.
-
C.
upperHouseCounterpart
Indicates that one legislative body is the corresponding or equivalent chamber in the upper house relative to another body.
-
D.
lowerHouseOf
Indicates that one entity is the lower chamber in the bicameral legislature of another governing body or jurisdiction.
-
E.
upperHouseStatus
Indicates the status or role an entity holds within an upper legislative chamber (such as membership, position, or standing).
- 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_69d86d9cdb648190bf3171be0bd7d872 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4d6b5788190883746ee82c799f5 |
completed | April 16, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e0052c6208819098165d61d378d13b |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:46 a.m.