Triple
T23325603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florida's 14th congressional district |
E591280
|
entity |
| Predicate | electsNumberOfMembers |
P4273
|
FINISHED |
| Object | 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: 1 | Statement: [Florida's 14th congressional district, electsNumberOfMembers, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electsNumberOfMembers Context triple: [Florida's 14th congressional district, electsNumberOfMembers, 1]
-
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.
electedMembers
Indicates that certain individuals have been chosen through an election process to serve as members of a specific body or organization.
-
C.
numberOfRepresentatives
chosen
Indicates the quantity of representatives associated with a given entity or unit.
-
D.
electingBodyForMostMembers
Indicates that the subject is the body or constituency that elects the majority of the members of the object organization or assembly.
-
E.
numberOfElectors
Indicates the total count of electors associated with a given entity or context.
- 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_69e25d1effe4819096907f95f610dbff |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f197e9de788190afd6883c7eac4854 |
completed | April 29, 2026, 5:32 a.m. |
| PD | Predicate disambiguation | batch_69effcf8ca2c8190887d4f4656617d21 |
completed | April 28, 2026, 12:19 a.m. |
Created at: April 17, 2026, 5:11 p.m.