Triple
T35924877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turnaround Agenda for Illinois |
E1038991
|
entity |
| Predicate | includesProposal |
P96136
|
FINISHED |
| Object | changes to workers’ compensation laws |
—
|
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: changes to workers’ compensation laws | Statement: [Turnaround Agenda for Illinois, includesProposal, changes to workers’ compensation laws]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesProposal Context triple: [Turnaround Agenda for Illinois, includesProposal, changes to workers’ compensation laws]
-
A.
hasProposal
chosen
Indicates that an entity possesses, is associated with, or is the subject of a specific proposal.
-
B.
isProposed
Indicates that an entity has been formally suggested or put forward for consideration, approval, or adoption.
-
C.
hasProposed
Indicates that one entity has formally suggested or put forward something (such as an idea, plan, or offer) to another entity for consideration or acceptance.
-
D.
relatedProposal
Indicates that one proposal has a specified relationship or association with another proposal.
-
E.
proposes
Indicates that one entity formally suggests or puts forward an idea, plan, or course of action to another entity for consideration or approval.
- 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_69f76e2320748190b7f5c4750d0cd0d3 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037ce70f54819082946dad8d380825 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a069e6c8190857b611fffb7b867 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:07 p.m.