Triple
T1519230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florida Senate Bill 4-C (2022) |
E32188
|
entity |
| Predicate | typeOfSession |
P983
|
FINISHED |
| Object | special session |
—
|
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: special session | Statement: [Florida Senate Bill 4-C (2022), typeOfSession, special session]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfSession Context triple: [Florida Senate Bill 4-C (2022), typeOfSession, special session]
-
A.
sessionType
chosen
Indicates the classification or category of a particular session based on its purpose, format, or context.
-
B.
typeOfState
Indicates that one state is a specific kind or category of another, more general state.
-
C.
typeOfRole
Indicates that one entity specifies the kind or category of role that another entity holds or performs.
-
D.
typeOfControl
Indicates the specific manner or mechanism by which one entity exercises control or influence over another.
-
E.
selectionSessionNumber
Indicates the specific numbered position or identifier assigned to a selection within a sequence or session of selections.
- 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_69a885e8caf88190a5fbb6159ce87786 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a93d4756888190bf3872154de11539 |
completed | March 5, 2026, 8:22 a.m. |
| PD | Predicate disambiguation | batch_69a907ac7ea081908dd95bb5cc3b9847 |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:26 p.m.