Triple
T2539029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gun-Free School Zones Act of 1990 |
E56337
|
entity |
| Predicate | postLopezAction |
P10613
|
FINISHED |
| Object | Congress amended statute to add interstate-commerce nexus |
—
|
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: Congress amended statute to add interstate-commerce nexus | Statement: [Gun-Free School Zones Act of 1990, postLopezAction, Congress amended statute to add interstate-commerce nexus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: postLopezAction Context triple: [Gun-Free School Zones Act of 1990, postLopezAction, Congress amended statute to add interstate-commerce nexus]
-
A.
actsOn
Indicates that one entity performs an action that affects, targets, or is directed toward another entity.
-
B.
governorAction
Indicates that a governor performs, initiates, or is responsible for a specific action or decision.
-
C.
politicalAct
Indicates that an entity performs, participates in, or is involved with an action related to politics, governance, or public policy.
-
D.
postReformDevelopment
chosen
Indicates the development or changes that occur after a reform has been implemented.
-
E.
after
Indicates that one event, state, or action occurs later in time than another, following it in temporal order.
- 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_69ab4a49b6508190bc467fbef4bac334 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd64a2194819097c66cbeb37fe859 |
completed | March 7, 2026, 7:39 a.m. |
| PD | Predicate disambiguation | batch_69abd0c4a5dc819097812db50443420a |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:47 p.m.