Triple
T12068167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Public Law 101-601 |
E287352
|
entity |
| Predicate | legalDefinitionProvidedFor |
P62216
|
FINISHED |
| Object | Native American |
—
|
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: Native American | Statement: [Public Law 101-601, legalDefinitionProvidedFor, Native American]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalDefinitionProvidedFor Context triple: [Public Law 101-601, legalDefinitionProvidedFor, Native American]
-
A.
legalDefinitionSource
Indicates the source (such as a statute, regulation, or case) from which a particular legal definition is derived.
-
B.
legalTermIn
Indicates that a particular legal term or concept is used, defined, or applicable within a specified legal document, jurisdiction, or context.
-
C.
legalConcept
Indicates a relationship where something is classified or treated as a concept defined and governed by law or legal theory.
-
D.
hasLegalDefinitionIn
chosen
Indicates that something possesses an official legal definition within a specified legal source, system, or jurisdiction.
-
E.
legalDefinitionJurisdiction
Indicates the jurisdiction or authority under which a particular legal definition is established or applies.
- 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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902bda47c8190b94860b31df4a98c |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:48 p.m.