Triple
T28478165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boland Amendment |
E720616
|
entity |
| Predicate | legalContextFor |
P2132
|
FINISHED |
| Object | Iran–Contra affair |
—
|
NE NERFINISHED |
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: Iran–Contra affair | Statement: [Boland Amendment, legalContextFor, Iran–Contra affair]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalContextFor Context triple: [Boland Amendment, legalContextFor, Iran–Contra affair]
-
A.
legalContext
chosen
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.
-
B.
legalScope
Indicates the range, boundaries, or extent of authority, applicability, or effect that something has under a particular legal framework or rule.
-
C.
legalBackground
Indicates that an entity has education, training, or experience related to law or the legal profession.
-
D.
legalContent
Indicates that the associated material complies with applicable laws and regulations and is permitted for use, distribution, or display.
-
E.
legalTarget
Indicates that an action, decision, or rule is directed toward an entity in a manner that is permitted or recognized as valid under the governing legal or rule system.
- 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_69f01a5983f48190b7c1b8857245a4f7 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69fd2cf39b0c8190811b8a6fa9410560 |
completed | May 8, 2026, 12:23 a.m. |
| PD | Predicate disambiguation | batch_69fd2ad8dd988190a9899701ba00d917 |
completed | May 8, 2026, 12:14 a.m. |
Created at: April 28, 2026, 2:53 a.m.