Triple
T26981055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indian Country |
E679600
|
entity |
| Predicate | hasLegalSignificanceFor |
P62483
|
FINISHED |
| Object | criminal jurisdiction |
—
|
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: criminal jurisdiction | Statement: [Indian Country, hasLegalSignificanceFor, criminal jurisdiction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLegalSignificanceFor Context triple: [Indian Country, hasLegalSignificanceFor, criminal jurisdiction]
-
A.
legalSignificance
Indicates that something has recognized importance, effect, or consequence within a legal context or system.
-
B.
hasLegalRelevanceIn
chosen
Indicates that something is legally significant, applicable, or has consequences within a specified legal context, case, or jurisdiction.
-
C.
hasOngoingLegalSignificance
Indicates that a legal matter, status, or decision continues to have current relevance, effect, or consequences under the law.
-
D.
hasLegalEffect
Indicates that an action, document, or condition produces recognized legal consequences or enforceable rights and obligations.
-
E.
hasLegalForceAs
Indicates that one thing possesses the binding legal effect or validity in the capacity or role of another specified thing.
- 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_69eeeb507a7081909d516e1fa08b7d29 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f6b49436b0819094e21603054d05d4 |
completed | May 3, 2026, 2:36 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a5fd8481909433e923c5e24e55 |
completed | May 3, 2026, 2:32 a.m. |
Created at: April 27, 2026, 6:45 a.m.