Triple
T85021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agricultural Adjustment Administration |
E1710
|
entity |
| Predicate | legalEvent |
P1664
|
FINISHED |
| Object | key provisions declared unconstitutional in 1936 |
—
|
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: key provisions declared unconstitutional in 1936 | Statement: [Agricultural Adjustment Administration, legalEvent, key provisions declared unconstitutional in 1936]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalEvent Context triple: [Agricultural Adjustment Administration, legalEvent, key provisions declared unconstitutional in 1936]
-
A.
legalOutcome
Indicates the resulting legal status, decision, or consequence that follows from a legal process, action, or judgment.
-
B.
legalForm
Indicates the specific legal structure or organizational type under which an entity is formally constituted and recognized by law.
-
C.
legalSubject
Indicates that an entity is the bearer of legal rights, duties, or responsibilities within a legal relationship or context.
-
D.
legalContext
Indicates that the relationship or action occurs within, is shaped by, or is relevant to a specific legal framework, proceeding, or set of legal norms.
-
E.
event
chosen
Indicates that there exists an occurrence or happening involving one or more entities, typically situated in time and possibly space.
- 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_69a24c8150408190910a693eb51c1f71 |
completed | Feb. 28, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69a250e401288190ba12322c9c5f07c9 |
completed | Feb. 28, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69a24eb59e808190811c20518f39b1cc |
completed | Feb. 28, 2026, 2:11 a.m. |
Created at: Feb. 28, 2026, 2:06 a.m.