Triple
T634563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Congressional tax-writing committees |
E15994
|
entity |
| Predicate | areaOfLegislation |
P17365
|
FINISHED |
| Object | federal taxation |
—
|
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: federal taxation | Statement: [Congressional tax-writing committees, areaOfLegislation, federal taxation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areaOfLegislation Context triple: [Congressional tax-writing committees, areaOfLegislation, federal taxation]
-
A.
typeOfLegislation
Indicates the specific category or kind of legislation that a given legal act or measure belongs to.
-
B.
relatedLegislation
Indicates that there exists a legislative document that is connected to, affects, or is otherwise relevant to the subject entity.
-
C.
legislativeArticle
Indicates a relationship where one entity is a specific article or clause within a legislative or legal document that governs or regulates another entity.
-
D.
legislature
Indicates that an entity serves as, or is part of, a law-making body or assembly responsible for creating or amending laws for a political unit.
-
E.
legislativeActivity
Indicates involvement in creating, debating, amending, or passing laws or related legislative measures.
- F. None of above. chosen
Provenance (4 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_69a4935c131c8190a5378c6bf101e8cc |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49ee4ee8481908ad45405e3f3835c |
completed | March 1, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69a49d0483908190a5ec42a7403c258e |
completed | March 1, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69a49defe58c8190bd39ef47c9f660a7 |
completed | March 1, 2026, 8:13 p.m. |
Created at: March 1, 2026, 7:35 p.m.