Triple
T6202026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jennings family |
E138655
|
entity |
| Predicate | governingLawContext |
P6190
|
FINISHED |
| Object | American Samoa law |
—
|
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: American Samoa law | Statement: [Jennings family, governingLawContext, American Samoa law]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governingLawContext Context triple: [Jennings family, governingLawContext, American Samoa law]
-
A.
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.
-
B.
legalLicenseJurisdiction
Indicates the legal authority or geographic area under whose laws a particular license is granted, valid, or enforced.
-
C.
legalCodeRecordedIn
Indicates that a legal code is documented, registered, or officially stored within a particular record, system, or repository.
-
D.
governingJurisdictionForRules
Indicates the legal or regulatory jurisdiction under whose authority a given set of rules or regulations applies.
-
E.
legalJurisdiction
chosen
Indicates the legal authority or geographic area whose laws and courts have the power to govern, regulate, or adjudicate matters involving the related entities.
- 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_69c008acbea48190991c6b834bb45d65 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062559bcc81908942bb4d25fe8158 |
completed | March 22, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69c055fbce1081908805fd12e242ab96 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:20 p.m.