Triple
T9421366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lebanon–United States relations |
E227157
|
entity |
| Predicate | USPublicLawFramework |
P3136
|
FINISHED |
| Object | US foreign assistance legislation |
—
|
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: US foreign assistance legislation | Statement: [Lebanon–United States relations, USPublicLawFramework, US foreign assistance legislation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: USPublicLawFramework Context triple: [Lebanon–United States relations, USPublicLawFramework, US foreign assistance legislation]
-
A.
legalCodePromulgatedBy
Indicates that a specific legal code was formally issued or enacted by a particular authority or governing body.
-
B.
relatedLegislation
chosen
Indicates that there exists a legislative document that is connected to, affects, or is otherwise relevant to the subject entity.
-
C.
publicLawNumber
Indicates the specific public law identifier associated with a legislative act or statute.
-
D.
includesLegalFramework
Indicates that one entity encompasses, references, or incorporates a specific legal framework within its scope or content.
-
E.
majorLegalSource
Indicates that one entity serves as a primary or authoritative legal basis or reference for another entity.
- 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_69ca84359e7c819091148ba4b670e436 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd6c2651c48190808281779fab49df |
completed | April 1, 2026, 7:04 p.m. |
| PD | Predicate disambiguation | batch_69cca550777c819094e1851a6127cbbc |
completed | April 1, 2026, 4:55 a.m. |
Created at: March 30, 2026, 7:48 p.m.