Triple
T7648629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2000 United States House of Representatives elections |
E173188
|
entity |
| Predicate | numberOfVotingMembersElected |
P35990
|
FINISHED |
| Object | 435 |
—
|
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: 435 | Statement: [2000 United States House of Representatives elections, numberOfVotingMembersElected, 435]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfVotingMembersElected Context triple: [2000 United States House of Representatives elections, numberOfVotingMembersElected, 435]
-
A.
numberOfElectedMembers
Indicates the total count of individuals who have been formally chosen through an election to serve as members of a given body or group.
-
B.
hasNumberOfVotingMembers
chosen
Indicates the specific count of individuals who hold voting rights within a given group or body.
-
C.
numberOfAppointedMembers
Indicates the specific count of members who have been formally appointed to a group, body, or position.
-
D.
numberOfVoters
Indicates the total count of individuals who participated in a particular vote or election.
-
E.
membersElected
Indicates that certain individuals are chosen through an election process to serve as members of a group, body, or organization.
- 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_69c6995473348190a4f41d110d619a18 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c6fb134a40819097f9de5f24d1df0f |
completed | March 27, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e9ef1c81909c8bff716541ac1f |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:58 p.m.