Triple
T964719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nevada Legislature |
E20812
|
entity |
| Predicate | numberOfMembersLowerHouse |
P4273
|
FINISHED |
| Object | 42 |
—
|
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: 42 | Statement: [Nevada Legislature, numberOfMembersLowerHouse, 42]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfMembersLowerHouse Context triple: [Nevada Legislature, numberOfMembersLowerHouse, 42]
-
A.
numberOfCommitteeMembers
Indicates the total count of individuals who are members of a given committee.
-
B.
totalNumberOfLegislators
Indicates the total count of legislators associated with a given political body, jurisdiction, or legislative session.
-
C.
electedMembers
Indicates that certain individuals have been chosen through an election process to serve as members of a specific body or organization.
-
D.
numberOfRepresentatives
chosen
Indicates the quantity of representatives associated with a given entity or unit.
-
E.
lowerHouse
Indicates that one entity functions as the lower chamber of a bicameral legislature in relation to a given political body or system.
- 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_69a493b33d2c81909c52c369d3ca8436 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b4303e5881909d101d11f9732c75 |
completed | March 1, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69a4b2a42c1481908d940cbe0aefdd3b |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.