Triple
T33842344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manikay |
E867388
|
entity |
| Predicate | hasRelationToLaw |
—
|
GENERATED |
| Object | embodiment of Yolngu law |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRelationToLaw Context triple: [Manikay, hasRelationToLaw, embodiment of Yolngu law]
-
A.
hasRelationshipToLaw
chosen
Indicates that one entity has a defined connection, relevance, or applicability to a specific law or legal framework.
-
B.
hasLegalRelevanceIn
Indicates that something is legally significant, applicable, or has consequences within a specified legal context, case, or jurisdiction.
-
C.
containsLaw
Indicates that one entity (such as a document, code, or jurisdiction) includes or encompasses a specific law within it.
-
D.
relationshipToStateLaw
Indicates how something is connected or subject to the provisions, requirements, or authority of a particular state law.
-
E.
hasJurisprudence
Indicates a relationship where an entity possesses, is associated with, or is governed by a particular body of legal principles, case law, or judicial doctrine.
- F. None of above.
Provenance (1 batch)
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_69f34992ad40819087760ed939bd2a7a |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:47 a.m.