Triple
T5663940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Finance Committee (Maryland Senate) |
E124809
|
entity |
| Predicate | handlesLegislationOn |
P17365
|
FINISHED |
| Object | fiscal policy |
—
|
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: fiscal policy | Statement: [Finance Committee (Maryland Senate), handlesLegislationOn, fiscal policy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: handlesLegislationOn Context triple: [Finance Committee (Maryland Senate), handlesLegislationOn, fiscal policy]
-
A.
enablingLegislationFor
Indicates that one piece of legislation provides the legal authority, framework, or permission necessary for another law, program, or action to exist or operate.
-
B.
areaOfLegislation
chosen
Indicates that one entity defines, concerns, or governs the legal domain or subject matter covered by another entity.
-
C.
relatedLegislation
Indicates that there exists a legislative document that is connected to, affects, or is otherwise relevant to the subject entity.
-
D.
passedLegislation
Indicates that a governing body has formally approved and enacted a specific piece of legislation or law.
-
E.
hasLegislativeSubject
Indicates that a legislative document, action, or body concerns, addresses, or is about a particular subject or topic.
- 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_69c00828906881908966f270b8f130cf |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0236d3f94819095111c41a323612d |
completed | March 22, 2026, 5:14 p.m. |
| PD | Predicate disambiguation | batch_69c021ba4ec481909db8cdbf0e907dd6 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:43 p.m.